Model save
Browse files- README.md +121 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- runs/Aug18_04-44-56_9mqd6r3-l/events.out.tfevents.1723949106.9mqd6r3-l.2101535.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +1081 -0
README.md
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| 1 |
+
---
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| 2 |
+
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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tags:
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- trl
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- sft
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| 8 |
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- generated_from_trainer
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| 9 |
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model-index:
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- name: Llama-31-8B_task-2_60-samples_config-4
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| 11 |
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results: []
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| 12 |
+
---
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| 13 |
+
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| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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| 17 |
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# Llama-31-8B_task-2_60-samples_config-4
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.7192
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| 22 |
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| 23 |
+
## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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| 32 |
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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| 41 |
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- train_batch_size: 1
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| 42 |
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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| 46 |
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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| 50 |
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- num_epochs: 150
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| 51 |
+
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| 52 |
+
### Training results
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| 53 |
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| 54 |
+
| Training Loss | Epoch | Step | Validation Loss |
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| 55 |
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|:-------------:|:-------:|:----:|:---------------:|
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| 56 |
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| 1.0749 | 0.6957 | 2 | 1.0966 |
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| 57 |
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| 1.0739 | 1.7391 | 5 | 1.0942 |
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| 58 |
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| 1.0883 | 2.7826 | 8 | 1.0905 |
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| 59 |
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| 1.0572 | 3.8261 | 11 | 1.0844 |
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| 60 |
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| 1.0814 | 4.8696 | 14 | 1.0741 |
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| 61 |
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| 1.0423 | 5.9130 | 17 | 1.0622 |
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| 62 |
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| 1.0626 | 6.9565 | 20 | 1.0462 |
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| 63 |
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| 1.0118 | 8.0 | 23 | 1.0248 |
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| 64 |
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| 1.0176 | 8.6957 | 25 | 1.0099 |
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| 65 |
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| 0.9728 | 9.7391 | 28 | 0.9822 |
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| 66 |
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| 0.9567 | 10.7826 | 31 | 0.9527 |
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| 67 |
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| 0.9202 | 11.8261 | 34 | 0.9259 |
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| 68 |
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| 0.9099 | 12.8696 | 37 | 0.9015 |
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| 69 |
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| 0.8806 | 13.9130 | 40 | 0.8828 |
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| 0.7975 | 14.9565 | 43 | 0.8661 |
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| 0.8572 | 16.0 | 46 | 0.8533 |
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| 0.8342 | 16.6957 | 48 | 0.8447 |
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| 0.8242 | 17.7391 | 51 | 0.8331 |
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| 0.7954 | 18.7826 | 54 | 0.8223 |
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| 0.8235 | 19.8261 | 57 | 0.8122 |
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| 0.7896 | 20.8696 | 60 | 0.8017 |
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| 0.7775 | 21.9130 | 63 | 0.7933 |
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| 0.7315 | 22.9565 | 66 | 0.7862 |
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| 0.7702 | 24.0 | 69 | 0.7800 |
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| 0.7262 | 24.6957 | 71 | 0.7756 |
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| 0.7683 | 25.7391 | 74 | 0.7715 |
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| 0.7043 | 26.7826 | 77 | 0.7656 |
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| 83 |
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| 0.7314 | 27.8261 | 80 | 0.7621 |
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| 84 |
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| 0.7093 | 28.8696 | 83 | 0.7586 |
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| 85 |
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| 0.7047 | 29.9130 | 86 | 0.7542 |
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| 0.707 | 30.9565 | 89 | 0.7506 |
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| 0.7128 | 32.0 | 92 | 0.7475 |
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| 0.676 | 32.6957 | 94 | 0.7451 |
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| 0.7113 | 33.7391 | 97 | 0.7420 |
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| 0.6733 | 34.7826 | 100 | 0.7396 |
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| 0.698 | 35.8261 | 103 | 0.7370 |
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| 0.6868 | 36.8696 | 106 | 0.7339 |
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| 0.6633 | 37.9130 | 109 | 0.7310 |
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| 0.675 | 38.9565 | 112 | 0.7296 |
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| 0.6563 | 40.0 | 115 | 0.7270 |
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| 0.64 | 40.6957 | 117 | 0.7257 |
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| 0.6314 | 41.7391 | 120 | 0.7242 |
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| 0.619 | 42.7826 | 123 | 0.7225 |
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| 0.6256 | 43.8261 | 126 | 0.7211 |
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| 0.634 | 44.8696 | 129 | 0.7198 |
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| 0.5984 | 45.9130 | 132 | 0.7185 |
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| 0.636 | 46.9565 | 135 | 0.7176 |
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| 0.6084 | 48.0 | 138 | 0.7173 |
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| 0.6068 | 48.6957 | 140 | 0.7168 |
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| 0.5982 | 49.7391 | 143 | 0.7166 |
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| 0.6024 | 50.7826 | 146 | 0.7171 |
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| 0.5876 | 51.8261 | 149 | 0.7170 |
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| 0.5852 | 52.8696 | 152 | 0.7169 |
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| 0.5803 | 53.9130 | 155 | 0.7175 |
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| 0.5794 | 54.9565 | 158 | 0.7172 |
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| 0.5699 | 56.0 | 161 | 0.7188 |
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| 0.5722 | 56.6957 | 163 | 0.7192 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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| 120 |
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- Datasets 2.20.0
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| 121 |
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- Tokenizers 0.19.1
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adapter_model.safetensors
CHANGED
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
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| 3 |
size 167832240
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b4cd1f36d2c6f94a8c6a4b04570d48af312f60437c8631a48c36bd38c6e72ec7
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size 167832240
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all_results.json
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{
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"epoch": 56.69565217391305,
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"total_flos": 2.5340798505582592e+17,
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| 4 |
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"train_loss": 0.767207163243206,
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| 5 |
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"train_runtime": 9109.3845,
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| 6 |
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"train_samples": 46,
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| 7 |
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"train_samples_per_second": 0.757,
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| 8 |
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"train_steps_per_second": 0.033
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| 9 |
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}
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runs/Aug18_04-44-56_9mqd6r3-l/events.out.tfevents.1723949106.9mqd6r3-l.2101535.0
CHANGED
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
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| 3 |
-
size
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:46642c6b55fe7b68193303b0b2e3ffb40c3b40429e4fe2ac63f39b6b5e925acb
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size 39440
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train_results.json
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{
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"epoch": 56.69565217391305,
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| 3 |
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"total_flos": 2.5340798505582592e+17,
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| 4 |
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"train_loss": 0.767207163243206,
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| 5 |
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"train_runtime": 9109.3845,
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| 6 |
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"train_samples": 46,
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| 7 |
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"train_samples_per_second": 0.757,
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| 8 |
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"train_steps_per_second": 0.033
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}
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trainer_state.json
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| 1 |
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