Uploaded checkpoint-10000
Browse files- README.md +202 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +761 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: meta-llama/Meta-Llama-3-8B-Instruct
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.8.2
|
adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"loftq_config": {},
|
| 12 |
+
"lora_alpha": 256,
|
| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
+
"megatron_config": null,
|
| 15 |
+
"megatron_core": "megatron.core",
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 64,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"q_proj",
|
| 23 |
+
"k_proj",
|
| 24 |
+
"o_proj",
|
| 25 |
+
"down_proj",
|
| 26 |
+
"gate_proj",
|
| 27 |
+
"up_proj",
|
| 28 |
+
"v_proj"
|
| 29 |
+
],
|
| 30 |
+
"task_type": "CAUSAL_LM",
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c1a3fb834b1e7403413ce8a6e90846b03fd9892e7deddf7d1f661c376c664a63
|
| 3 |
+
size 671149168
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6e6b6ee186c78f463b236ee03905bb837e56fa0da75cf624eafe6793a05c2d8
|
| 3 |
+
size 1342555602
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:784e48ec96b46ab6412cf243f9ea7749aae76d4f44b7d1ce8926f67a33f43c64
|
| 3 |
+
size 14308
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de08dfe2b75b71f2154800fdb9d53cf07b2f8dd634749a8467d8ff5c91e63d47
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,761 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.5,
|
| 5 |
+
"eval_steps": 2000,
|
| 6 |
+
"global_step": 10000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"grad_norm": 39.588829040527344,
|
| 14 |
+
"learning_rate": 9.499999999999999e-07,
|
| 15 |
+
"loss": 1.2125,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01,
|
| 20 |
+
"grad_norm": 24.040372848510742,
|
| 21 |
+
"learning_rate": 9.904040404040403e-07,
|
| 22 |
+
"loss": 1.0367,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.01,
|
| 27 |
+
"grad_norm": 23.623809814453125,
|
| 28 |
+
"learning_rate": 9.803030303030302e-07,
|
| 29 |
+
"loss": 0.9513,
|
| 30 |
+
"step": 300
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.02,
|
| 34 |
+
"grad_norm": 0.24086859822273254,
|
| 35 |
+
"learning_rate": 9.7020202020202e-07,
|
| 36 |
+
"loss": 0.8004,
|
| 37 |
+
"step": 400
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.03,
|
| 41 |
+
"grad_norm": 22.336132049560547,
|
| 42 |
+
"learning_rate": 9.601010101010101e-07,
|
| 43 |
+
"loss": 0.8263,
|
| 44 |
+
"step": 500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.03,
|
| 48 |
+
"grad_norm": 42.77682876586914,
|
| 49 |
+
"learning_rate": 9.499999999999999e-07,
|
| 50 |
+
"loss": 0.769,
|
| 51 |
+
"step": 600
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.04,
|
| 55 |
+
"grad_norm": 16.354448318481445,
|
| 56 |
+
"learning_rate": 9.398989898989899e-07,
|
| 57 |
+
"loss": 0.7974,
|
| 58 |
+
"step": 700
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.04,
|
| 62 |
+
"grad_norm": 40.2994270324707,
|
| 63 |
+
"learning_rate": 9.297979797979798e-07,
|
| 64 |
+
"loss": 0.8112,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.04,
|
| 69 |
+
"grad_norm": 15.487586975097656,
|
| 70 |
+
"learning_rate": 9.196969696969696e-07,
|
| 71 |
+
"loss": 0.7657,
|
| 72 |
+
"step": 900
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.05,
|
| 76 |
+
"grad_norm": 20.020811080932617,
|
| 77 |
+
"learning_rate": 9.095959595959596e-07,
|
| 78 |
+
"loss": 0.7554,
|
| 79 |
+
"step": 1000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.06,
|
| 83 |
+
"grad_norm": 1.6317849159240723,
|
| 84 |
+
"learning_rate": 8.995959595959596e-07,
|
| 85 |
+
"loss": 0.7687,
|
| 86 |
+
"step": 1100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.06,
|
| 90 |
+
"grad_norm": 8.649179458618164,
|
| 91 |
+
"learning_rate": 8.894949494949494e-07,
|
| 92 |
+
"loss": 0.7567,
|
| 93 |
+
"step": 1200
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.07,
|
| 97 |
+
"grad_norm": 27.93072509765625,
|
| 98 |
+
"learning_rate": 8.793939393939394e-07,
|
| 99 |
+
"loss": 0.7014,
|
| 100 |
+
"step": 1300
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.07,
|
| 104 |
+
"grad_norm": 34.16617202758789,
|
| 105 |
+
"learning_rate": 8.692929292929293e-07,
|
| 106 |
+
"loss": 0.6642,
|
| 107 |
+
"step": 1400
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.07,
|
| 111 |
+
"grad_norm": 61.1443977355957,
|
| 112 |
+
"learning_rate": 8.591919191919191e-07,
|
| 113 |
+
"loss": 0.7243,
|
| 114 |
+
"step": 1500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.08,
|
| 118 |
+
"grad_norm": 69.2451400756836,
|
| 119 |
+
"learning_rate": 8.490909090909091e-07,
|
| 120 |
+
"loss": 0.7365,
|
| 121 |
+
"step": 1600
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.09,
|
| 125 |
+
"grad_norm": 30.576330184936523,
|
| 126 |
+
"learning_rate": 8.38989898989899e-07,
|
| 127 |
+
"loss": 0.657,
|
| 128 |
+
"step": 1700
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.09,
|
| 132 |
+
"grad_norm": 15.208847045898438,
|
| 133 |
+
"learning_rate": 8.288888888888888e-07,
|
| 134 |
+
"loss": 0.7884,
|
| 135 |
+
"step": 1800
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.1,
|
| 139 |
+
"grad_norm": 39.78324508666992,
|
| 140 |
+
"learning_rate": 8.187878787878788e-07,
|
| 141 |
+
"loss": 0.7657,
|
| 142 |
+
"step": 1900
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.1,
|
| 146 |
+
"grad_norm": 43.55222702026367,
|
| 147 |
+
"learning_rate": 8.086868686868686e-07,
|
| 148 |
+
"loss": 0.6678,
|
| 149 |
+
"step": 2000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.1,
|
| 153 |
+
"eval_loss": 0.751860499382019,
|
| 154 |
+
"eval_runtime": 241.5179,
|
| 155 |
+
"eval_samples_per_second": 4.14,
|
| 156 |
+
"eval_steps_per_second": 1.035,
|
| 157 |
+
"step": 2000
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.1,
|
| 161 |
+
"grad_norm": 26.86771011352539,
|
| 162 |
+
"learning_rate": 7.985858585858586e-07,
|
| 163 |
+
"loss": 0.6361,
|
| 164 |
+
"step": 2100
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.11,
|
| 168 |
+
"grad_norm": 25.721782684326172,
|
| 169 |
+
"learning_rate": 7.884848484848484e-07,
|
| 170 |
+
"loss": 0.8334,
|
| 171 |
+
"step": 2200
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.12,
|
| 175 |
+
"grad_norm": 10.995915412902832,
|
| 176 |
+
"learning_rate": 7.783838383838383e-07,
|
| 177 |
+
"loss": 0.7052,
|
| 178 |
+
"step": 2300
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.12,
|
| 182 |
+
"grad_norm": 33.5030403137207,
|
| 183 |
+
"learning_rate": 7.682828282828282e-07,
|
| 184 |
+
"loss": 0.6972,
|
| 185 |
+
"step": 2400
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.12,
|
| 189 |
+
"grad_norm": 3.3341565132141113,
|
| 190 |
+
"learning_rate": 7.581818181818182e-07,
|
| 191 |
+
"loss": 0.7283,
|
| 192 |
+
"step": 2500
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.13,
|
| 196 |
+
"grad_norm": 10.039573669433594,
|
| 197 |
+
"learning_rate": 7.480808080808081e-07,
|
| 198 |
+
"loss": 0.725,
|
| 199 |
+
"step": 2600
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.14,
|
| 203 |
+
"grad_norm": 41.933143615722656,
|
| 204 |
+
"learning_rate": 7.379797979797979e-07,
|
| 205 |
+
"loss": 0.6081,
|
| 206 |
+
"step": 2700
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.14,
|
| 210 |
+
"grad_norm": 32.512107849121094,
|
| 211 |
+
"learning_rate": 7.278787878787879e-07,
|
| 212 |
+
"loss": 0.7128,
|
| 213 |
+
"step": 2800
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.14,
|
| 217 |
+
"grad_norm": 28.775693893432617,
|
| 218 |
+
"learning_rate": 7.177777777777777e-07,
|
| 219 |
+
"loss": 0.6757,
|
| 220 |
+
"step": 2900
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.15,
|
| 224 |
+
"grad_norm": 47.666160583496094,
|
| 225 |
+
"learning_rate": 7.076767676767677e-07,
|
| 226 |
+
"loss": 0.587,
|
| 227 |
+
"step": 3000
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.15,
|
| 231 |
+
"grad_norm": 23.707677841186523,
|
| 232 |
+
"learning_rate": 6.975757575757576e-07,
|
| 233 |
+
"loss": 0.7217,
|
| 234 |
+
"step": 3100
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.16,
|
| 238 |
+
"grad_norm": 38.1664924621582,
|
| 239 |
+
"learning_rate": 6.874747474747474e-07,
|
| 240 |
+
"loss": 0.7153,
|
| 241 |
+
"step": 3200
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.17,
|
| 245 |
+
"grad_norm": 43.21916198730469,
|
| 246 |
+
"learning_rate": 6.773737373737374e-07,
|
| 247 |
+
"loss": 0.7504,
|
| 248 |
+
"step": 3300
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.17,
|
| 252 |
+
"grad_norm": 28.080886840820312,
|
| 253 |
+
"learning_rate": 6.674747474747474e-07,
|
| 254 |
+
"loss": 0.6828,
|
| 255 |
+
"step": 3400
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.17,
|
| 259 |
+
"grad_norm": 24.497976303100586,
|
| 260 |
+
"learning_rate": 6.573737373737374e-07,
|
| 261 |
+
"loss": 0.6419,
|
| 262 |
+
"step": 3500
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.18,
|
| 266 |
+
"grad_norm": 71.72598266601562,
|
| 267 |
+
"learning_rate": 6.472727272727272e-07,
|
| 268 |
+
"loss": 0.6036,
|
| 269 |
+
"step": 3600
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.18,
|
| 273 |
+
"grad_norm": 30.938745498657227,
|
| 274 |
+
"learning_rate": 6.371717171717171e-07,
|
| 275 |
+
"loss": 0.705,
|
| 276 |
+
"step": 3700
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.19,
|
| 280 |
+
"grad_norm": 27.01025390625,
|
| 281 |
+
"learning_rate": 6.270707070707071e-07,
|
| 282 |
+
"loss": 0.5679,
|
| 283 |
+
"step": 3800
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.2,
|
| 287 |
+
"grad_norm": 24.72421646118164,
|
| 288 |
+
"learning_rate": 6.169696969696969e-07,
|
| 289 |
+
"loss": 0.6707,
|
| 290 |
+
"step": 3900
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.2,
|
| 294 |
+
"grad_norm": 17.81386375427246,
|
| 295 |
+
"learning_rate": 6.068686868686869e-07,
|
| 296 |
+
"loss": 0.653,
|
| 297 |
+
"step": 4000
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.2,
|
| 301 |
+
"eval_loss": 0.6371002197265625,
|
| 302 |
+
"eval_runtime": 241.2671,
|
| 303 |
+
"eval_samples_per_second": 4.145,
|
| 304 |
+
"eval_steps_per_second": 1.036,
|
| 305 |
+
"step": 4000
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 0.2,
|
| 309 |
+
"grad_norm": 22.987863540649414,
|
| 310 |
+
"learning_rate": 5.967676767676767e-07,
|
| 311 |
+
"loss": 0.6111,
|
| 312 |
+
"step": 4100
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 0.21,
|
| 316 |
+
"grad_norm": 28.384014129638672,
|
| 317 |
+
"learning_rate": 5.866666666666666e-07,
|
| 318 |
+
"loss": 0.7237,
|
| 319 |
+
"step": 4200
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.21,
|
| 323 |
+
"grad_norm": 9.547513961791992,
|
| 324 |
+
"learning_rate": 5.765656565656566e-07,
|
| 325 |
+
"loss": 0.6313,
|
| 326 |
+
"step": 4300
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.22,
|
| 330 |
+
"grad_norm": 35.17210388183594,
|
| 331 |
+
"learning_rate": 5.664646464646465e-07,
|
| 332 |
+
"loss": 0.6212,
|
| 333 |
+
"step": 4400
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 0.23,
|
| 337 |
+
"grad_norm": 27.639326095581055,
|
| 338 |
+
"learning_rate": 5.563636363636363e-07,
|
| 339 |
+
"loss": 0.6434,
|
| 340 |
+
"step": 4500
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 0.23,
|
| 344 |
+
"grad_norm": 47.38414764404297,
|
| 345 |
+
"learning_rate": 5.462626262626262e-07,
|
| 346 |
+
"loss": 0.6834,
|
| 347 |
+
"step": 4600
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.23,
|
| 351 |
+
"grad_norm": 24.167831420898438,
|
| 352 |
+
"learning_rate": 5.361616161616162e-07,
|
| 353 |
+
"loss": 0.6669,
|
| 354 |
+
"step": 4700
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.24,
|
| 358 |
+
"grad_norm": 32.78892517089844,
|
| 359 |
+
"learning_rate": 5.26060606060606e-07,
|
| 360 |
+
"loss": 0.6857,
|
| 361 |
+
"step": 4800
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.24,
|
| 365 |
+
"grad_norm": 14.563433647155762,
|
| 366 |
+
"learning_rate": 5.159595959595959e-07,
|
| 367 |
+
"loss": 0.6279,
|
| 368 |
+
"step": 4900
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.25,
|
| 372 |
+
"grad_norm": 24.523794174194336,
|
| 373 |
+
"learning_rate": 5.058585858585858e-07,
|
| 374 |
+
"loss": 0.5623,
|
| 375 |
+
"step": 5000
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.26,
|
| 379 |
+
"grad_norm": 54.16361618041992,
|
| 380 |
+
"learning_rate": 4.957575757575757e-07,
|
| 381 |
+
"loss": 0.6236,
|
| 382 |
+
"step": 5100
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.26,
|
| 386 |
+
"grad_norm": 39.292449951171875,
|
| 387 |
+
"learning_rate": 4.856565656565657e-07,
|
| 388 |
+
"loss": 0.695,
|
| 389 |
+
"step": 5200
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.27,
|
| 393 |
+
"grad_norm": 27.683238983154297,
|
| 394 |
+
"learning_rate": 4.7555555555555554e-07,
|
| 395 |
+
"loss": 0.6286,
|
| 396 |
+
"step": 5300
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.27,
|
| 400 |
+
"grad_norm": 42.612430572509766,
|
| 401 |
+
"learning_rate": 4.6545454545454546e-07,
|
| 402 |
+
"loss": 0.5533,
|
| 403 |
+
"step": 5400
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.28,
|
| 407 |
+
"grad_norm": 12.680336952209473,
|
| 408 |
+
"learning_rate": 4.553535353535353e-07,
|
| 409 |
+
"loss": 0.6878,
|
| 410 |
+
"step": 5500
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.28,
|
| 414 |
+
"grad_norm": 29.51133918762207,
|
| 415 |
+
"learning_rate": 4.4525252525252524e-07,
|
| 416 |
+
"loss": 0.6772,
|
| 417 |
+
"step": 5600
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.28,
|
| 421 |
+
"grad_norm": 60.08015823364258,
|
| 422 |
+
"learning_rate": 4.3515151515151515e-07,
|
| 423 |
+
"loss": 0.5839,
|
| 424 |
+
"step": 5700
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.29,
|
| 428 |
+
"grad_norm": 32.535728454589844,
|
| 429 |
+
"learning_rate": 4.2505050505050507e-07,
|
| 430 |
+
"loss": 0.7245,
|
| 431 |
+
"step": 5800
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.29,
|
| 435 |
+
"grad_norm": 27.34471893310547,
|
| 436 |
+
"learning_rate": 4.1494949494949493e-07,
|
| 437 |
+
"loss": 0.6402,
|
| 438 |
+
"step": 5900
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.3,
|
| 442 |
+
"grad_norm": 5.2399139404296875,
|
| 443 |
+
"learning_rate": 4.0484848484848485e-07,
|
| 444 |
+
"loss": 0.5824,
|
| 445 |
+
"step": 6000
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.3,
|
| 449 |
+
"eval_loss": 0.6514798402786255,
|
| 450 |
+
"eval_runtime": 241.275,
|
| 451 |
+
"eval_samples_per_second": 4.145,
|
| 452 |
+
"eval_steps_per_second": 1.036,
|
| 453 |
+
"step": 6000
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.3,
|
| 457 |
+
"grad_norm": 54.833457946777344,
|
| 458 |
+
"learning_rate": 3.947474747474747e-07,
|
| 459 |
+
"loss": 0.6579,
|
| 460 |
+
"step": 6100
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 0.31,
|
| 464 |
+
"grad_norm": 29.26833152770996,
|
| 465 |
+
"learning_rate": 3.8464646464646463e-07,
|
| 466 |
+
"loss": 0.5482,
|
| 467 |
+
"step": 6200
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 0.32,
|
| 471 |
+
"grad_norm": 20.299970626831055,
|
| 472 |
+
"learning_rate": 3.7454545454545454e-07,
|
| 473 |
+
"loss": 0.5854,
|
| 474 |
+
"step": 6300
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.32,
|
| 478 |
+
"grad_norm": 6.119832515716553,
|
| 479 |
+
"learning_rate": 3.6444444444444446e-07,
|
| 480 |
+
"loss": 0.613,
|
| 481 |
+
"step": 6400
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.33,
|
| 485 |
+
"grad_norm": 14.71923828125,
|
| 486 |
+
"learning_rate": 3.543434343434343e-07,
|
| 487 |
+
"loss": 0.7214,
|
| 488 |
+
"step": 6500
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 0.33,
|
| 492 |
+
"grad_norm": 3.2650656700134277,
|
| 493 |
+
"learning_rate": 3.4424242424242424e-07,
|
| 494 |
+
"loss": 0.5775,
|
| 495 |
+
"step": 6600
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.34,
|
| 499 |
+
"grad_norm": 16.577056884765625,
|
| 500 |
+
"learning_rate": 3.341414141414141e-07,
|
| 501 |
+
"loss": 0.5611,
|
| 502 |
+
"step": 6700
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 0.34,
|
| 506 |
+
"grad_norm": 28.803749084472656,
|
| 507 |
+
"learning_rate": 3.24040404040404e-07,
|
| 508 |
+
"loss": 0.6372,
|
| 509 |
+
"step": 6800
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 0.34,
|
| 513 |
+
"grad_norm": 16.91265869140625,
|
| 514 |
+
"learning_rate": 3.1393939393939394e-07,
|
| 515 |
+
"loss": 0.6302,
|
| 516 |
+
"step": 6900
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 0.35,
|
| 520 |
+
"grad_norm": 21.173931121826172,
|
| 521 |
+
"learning_rate": 3.0383838383838385e-07,
|
| 522 |
+
"loss": 0.6071,
|
| 523 |
+
"step": 7000
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 0.35,
|
| 527 |
+
"grad_norm": 44.6800537109375,
|
| 528 |
+
"learning_rate": 2.937373737373737e-07,
|
| 529 |
+
"loss": 0.588,
|
| 530 |
+
"step": 7100
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 0.36,
|
| 534 |
+
"grad_norm": 25.73281478881836,
|
| 535 |
+
"learning_rate": 2.8363636363636363e-07,
|
| 536 |
+
"loss": 0.6173,
|
| 537 |
+
"step": 7200
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 0.36,
|
| 541 |
+
"grad_norm": 92.61457061767578,
|
| 542 |
+
"learning_rate": 2.735353535353535e-07,
|
| 543 |
+
"loss": 0.6438,
|
| 544 |
+
"step": 7300
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 0.37,
|
| 548 |
+
"grad_norm": 47.508995056152344,
|
| 549 |
+
"learning_rate": 2.634343434343434e-07,
|
| 550 |
+
"loss": 0.5693,
|
| 551 |
+
"step": 7400
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 0.38,
|
| 555 |
+
"grad_norm": 49.36333084106445,
|
| 556 |
+
"learning_rate": 2.533333333333333e-07,
|
| 557 |
+
"loss": 0.6199,
|
| 558 |
+
"step": 7500
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 0.38,
|
| 562 |
+
"grad_norm": 4.993002891540527,
|
| 563 |
+
"learning_rate": 2.4323232323232324e-07,
|
| 564 |
+
"loss": 0.4921,
|
| 565 |
+
"step": 7600
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 0.39,
|
| 569 |
+
"grad_norm": 49.10454177856445,
|
| 570 |
+
"learning_rate": 2.3313131313131313e-07,
|
| 571 |
+
"loss": 0.6299,
|
| 572 |
+
"step": 7700
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 0.39,
|
| 576 |
+
"grad_norm": 23.325441360473633,
|
| 577 |
+
"learning_rate": 2.2303030303030302e-07,
|
| 578 |
+
"loss": 0.6931,
|
| 579 |
+
"step": 7800
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.4,
|
| 583 |
+
"grad_norm": 0.007521418854594231,
|
| 584 |
+
"learning_rate": 2.1303030303030304e-07,
|
| 585 |
+
"loss": 0.5363,
|
| 586 |
+
"step": 7900
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 0.4,
|
| 590 |
+
"grad_norm": 27.83951187133789,
|
| 591 |
+
"learning_rate": 2.0292929292929293e-07,
|
| 592 |
+
"loss": 0.5613,
|
| 593 |
+
"step": 8000
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.4,
|
| 597 |
+
"eval_loss": 0.600296139717102,
|
| 598 |
+
"eval_runtime": 241.351,
|
| 599 |
+
"eval_samples_per_second": 4.143,
|
| 600 |
+
"eval_steps_per_second": 1.036,
|
| 601 |
+
"step": 8000
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 0.41,
|
| 605 |
+
"grad_norm": 30.96291160583496,
|
| 606 |
+
"learning_rate": 1.9282828282828282e-07,
|
| 607 |
+
"loss": 0.6247,
|
| 608 |
+
"step": 8100
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 0.41,
|
| 612 |
+
"grad_norm": 44.98584747314453,
|
| 613 |
+
"learning_rate": 1.8272727272727273e-07,
|
| 614 |
+
"loss": 0.5562,
|
| 615 |
+
"step": 8200
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 0.41,
|
| 619 |
+
"grad_norm": 25.331201553344727,
|
| 620 |
+
"learning_rate": 1.7262626262626262e-07,
|
| 621 |
+
"loss": 0.5618,
|
| 622 |
+
"step": 8300
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 0.42,
|
| 626 |
+
"grad_norm": 9.330756187438965,
|
| 627 |
+
"learning_rate": 1.625252525252525e-07,
|
| 628 |
+
"loss": 0.6281,
|
| 629 |
+
"step": 8400
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 0.42,
|
| 633 |
+
"grad_norm": 26.370899200439453,
|
| 634 |
+
"learning_rate": 1.5242424242424243e-07,
|
| 635 |
+
"loss": 0.5367,
|
| 636 |
+
"step": 8500
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 0.43,
|
| 640 |
+
"grad_norm": 44.39433288574219,
|
| 641 |
+
"learning_rate": 1.4232323232323232e-07,
|
| 642 |
+
"loss": 0.5459,
|
| 643 |
+
"step": 8600
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 0.43,
|
| 647 |
+
"grad_norm": 13.395641326904297,
|
| 648 |
+
"learning_rate": 1.322222222222222e-07,
|
| 649 |
+
"loss": 0.5933,
|
| 650 |
+
"step": 8700
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 0.44,
|
| 654 |
+
"grad_norm": 35.475257873535156,
|
| 655 |
+
"learning_rate": 1.2212121212121212e-07,
|
| 656 |
+
"loss": 0.563,
|
| 657 |
+
"step": 8800
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 0.45,
|
| 661 |
+
"grad_norm": 17.025686264038086,
|
| 662 |
+
"learning_rate": 1.1202020202020201e-07,
|
| 663 |
+
"loss": 0.6993,
|
| 664 |
+
"step": 8900
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 0.45,
|
| 668 |
+
"grad_norm": 47.12898254394531,
|
| 669 |
+
"learning_rate": 1.0191919191919191e-07,
|
| 670 |
+
"loss": 0.5684,
|
| 671 |
+
"step": 9000
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 0.46,
|
| 675 |
+
"grad_norm": 18.88089942932129,
|
| 676 |
+
"learning_rate": 9.18181818181818e-08,
|
| 677 |
+
"loss": 0.5771,
|
| 678 |
+
"step": 9100
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 0.46,
|
| 682 |
+
"grad_norm": 23.8131160736084,
|
| 683 |
+
"learning_rate": 8.171717171717171e-08,
|
| 684 |
+
"loss": 0.5883,
|
| 685 |
+
"step": 9200
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 0.47,
|
| 689 |
+
"grad_norm": 51.621604919433594,
|
| 690 |
+
"learning_rate": 7.161616161616161e-08,
|
| 691 |
+
"loss": 0.7248,
|
| 692 |
+
"step": 9300
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 0.47,
|
| 696 |
+
"grad_norm": 4.187072277069092,
|
| 697 |
+
"learning_rate": 6.151515151515151e-08,
|
| 698 |
+
"loss": 0.5615,
|
| 699 |
+
"step": 9400
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 0.47,
|
| 703 |
+
"grad_norm": 20.36664390563965,
|
| 704 |
+
"learning_rate": 5.141414141414141e-08,
|
| 705 |
+
"loss": 0.57,
|
| 706 |
+
"step": 9500
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 0.48,
|
| 710 |
+
"grad_norm": 20.075712203979492,
|
| 711 |
+
"learning_rate": 4.131313131313131e-08,
|
| 712 |
+
"loss": 0.5463,
|
| 713 |
+
"step": 9600
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 0.48,
|
| 717 |
+
"grad_norm": 20.317596435546875,
|
| 718 |
+
"learning_rate": 3.121212121212121e-08,
|
| 719 |
+
"loss": 0.6842,
|
| 720 |
+
"step": 9700
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 0.49,
|
| 724 |
+
"grad_norm": 20.718721389770508,
|
| 725 |
+
"learning_rate": 2.111111111111111e-08,
|
| 726 |
+
"loss": 0.6139,
|
| 727 |
+
"step": 9800
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 0.49,
|
| 731 |
+
"grad_norm": 6.301636219024658,
|
| 732 |
+
"learning_rate": 1.101010101010101e-08,
|
| 733 |
+
"loss": 0.5611,
|
| 734 |
+
"step": 9900
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 0.5,
|
| 738 |
+
"grad_norm": 9.210123062133789,
|
| 739 |
+
"learning_rate": 9.090909090909091e-10,
|
| 740 |
+
"loss": 0.5539,
|
| 741 |
+
"step": 10000
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 0.5,
|
| 745 |
+
"eval_loss": 0.6385700106620789,
|
| 746 |
+
"eval_runtime": 241.419,
|
| 747 |
+
"eval_samples_per_second": 4.142,
|
| 748 |
+
"eval_steps_per_second": 1.036,
|
| 749 |
+
"step": 10000
|
| 750 |
+
}
|
| 751 |
+
],
|
| 752 |
+
"logging_steps": 100,
|
| 753 |
+
"max_steps": 10000,
|
| 754 |
+
"num_input_tokens_seen": 0,
|
| 755 |
+
"num_train_epochs": 1,
|
| 756 |
+
"save_steps": 2000,
|
| 757 |
+
"total_flos": 9.4282098671616e+17,
|
| 758 |
+
"train_batch_size": 4,
|
| 759 |
+
"trial_name": null,
|
| 760 |
+
"trial_params": null
|
| 761 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af80731cb62a49344deff0dd24fdefc42b5cd6017a74f9f408125790bde0a870
|
| 3 |
+
size 4920
|