End of training

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+confusion_matrix_best.png filter=lfs diff=lfs merge=lfs -text
+confusion_matrix_latest.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,199 +1,111 @@
----
-library_name: transformers
-tags: []
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- 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. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+datasets:
+- generator
+metrics:
+- accuracy
+- f1
+model-index:
+- name: EraClassifierBiLSTM
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# EraClassifierBiLSTM
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1056
+- Accuracy: 0.5736
+- F1: 0.4174
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 4.761974698772928e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: reduce_lr_on_plateau
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|
+| 1.2797        | 0.1031 | 2000  | 1.3522          | 0.4608   | 0.2486 |
+| 1.1521        | 0.2063 | 4000  | 1.2422          | 0.4987   | 0.3139 |
+| 1.0887        | 0.3094 | 6000  | 1.2189          | 0.5056   | 0.3223 |
+| 1.0432        | 0.4126 | 8000  | 1.1715          | 0.5252   | 0.3479 |
+| 1.019         | 0.5157 | 10000 | 1.2021          | 0.5150   | 0.3304 |
+| 0.9963        | 0.6188 | 12000 | 1.1789          | 0.5252   | 0.3487 |
+| 0.976         | 0.7220 | 14000 | 1.1151          | 0.5759   | 0.3983 |
+| 0.9544        | 0.8251 | 16000 | 1.1800          | 0.5299   | 0.3529 |
+| 0.9455        | 0.9283 | 18000 | 1.1866          | 0.5415   | 0.3662 |
+| 0.9276        | 1.0314 | 20000 | 1.1744          | 0.5350   | 0.3792 |
+| 0.9167        | 1.1345 | 22000 | 1.1032          | 0.5774   | 0.4120 |
+| 0.9084        | 1.2377 | 24000 | 1.1312          | 0.5553   | 0.3818 |
+| 0.8758        | 1.3408 | 26000 | 1.1042          | 0.5667   | 0.4109 |
+| 0.859         | 1.4440 | 28000 | 1.1065          | 0.5733   | 0.4125 |
+| 0.8607        | 1.5471 | 30000 | 1.1104          | 0.5695   | 0.4115 |
+| 0.8526        | 1.6503 | 32000 | 1.1011          | 0.5830   | 0.4255 |
+| 0.8559        | 1.7534 | 34000 | 1.1083          | 0.5765   | 0.4136 |
+| 0.8501        | 1.8565 | 36000 | 1.1113          | 0.5752   | 0.4163 |
+| 0.8497        | 1.9597 | 38000 | 1.0935          | 0.5775   | 0.4220 |
+| 0.8473        | 2.0628 | 40000 | 1.1092          | 0.5745   | 0.4181 |
+| 0.8441        | 2.1660 | 42000 | 1.1095          | 0.5733   | 0.4164 |
+| 0.8396        | 2.2691 | 44000 | 1.0935          | 0.5852   | 0.4299 |
+| 0.8391        | 2.3722 | 46000 | 1.1054          | 0.5744   | 0.4160 |
+| 0.8401        | 2.4754 | 48000 | 1.1008          | 0.5755   | 0.4198 |
+| 0.8327        | 2.5785 | 50000 | 1.1097          | 0.5712   | 0.4132 |
+| 0.838         | 2.6817 | 52000 | 1.1055          | 0.5720   | 0.4143 |
+| 0.8329        | 2.7848 | 54000 | 1.1055          | 0.5728   | 0.4165 |
+| 0.8346        | 2.8879 | 56000 | 1.1038          | 0.5743   | 0.4172 |
+| 0.8353        | 2.9911 | 58000 | 1.1090          | 0.5728   | 0.4167 |
+| 0.8385        | 3.0942 | 60000 | 1.1013          | 0.5755   | 0.4201 |
+| 0.8337        | 3.1974 | 62000 | 1.1088          | 0.5733   | 0.4163 |
+| 0.8256        | 3.3005 | 64000 | 1.1076          | 0.5748   | 0.4177 |
+| 0.8367        | 3.4036 | 66000 | 1.1066          | 0.5730   | 0.4159 |
+| 0.831         | 3.5068 | 68000 | 1.1083          | 0.5732   | 0.4164 |
+| 0.8283        | 3.6099 | 70000 | 1.1067          | 0.5744   | 0.4173 |
+| 0.8349        | 3.7131 | 72000 | 1.1058          | 0.5747   | 0.4180 |
+| 0.8313        | 3.8162 | 74000 | 1.1058          | 0.5741   | 0.4171 |
+| 0.8313        | 3.9193 | 76000 | 1.1065          | 0.5735   | 0.4169 |
+| 0.8309        | 4.0225 | 78000 | 1.1067          | 0.5736   | 0.4171 |
+| 0.8331        | 4.1256 | 80000 | 1.1055          | 0.5744   | 0.4174 |
+| 0.8371        | 4.2288 | 82000 | 1.1058          | 0.5735   | 0.4167 |
+| 0.8344        | 4.3319 | 84000 | 1.1060          | 0.5734   | 0.4166 |
+| 0.8291        | 4.4350 | 86000 | 1.1049          | 0.5747   | 0.4185 |
+| 0.8343        | 4.5382 | 88000 | 1.1053          | 0.5735   | 0.4171 |
+| 0.8293        | 4.6413 | 90000 | 1.1056          | 0.5736   | 0.4174 |
+| 0.8294        | 4.7445 | 92000 | 1.1056          | 0.5736   | 0.4174 |
+| 0.8316        | 4.8476 | 94000 | 1.1055          | 0.5736   | 0.4174 |
+| 0.8264        | 4.9508 | 96000 | 1.1056          | 0.5736   | 0.4174 |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu126
+- Datasets 3.3.2
+- Tokenizers 0.21.0

final_model/config.json

@@ -0,0 +1,11 @@
+{
+  "architectures": [
+    "EraClassifierBiLSTM"
+  ],
+  "hidden_size": 384,
+  "input_size": 8,
+  "num_eras": 6,
+  "num_layers": 2,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0"
+}

final_model/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:696d0c893fe4741cbcc3a67ff26be5367882d4978bf725c4d455bd5ce6ee71b1
+size 19041840

final_model/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:015d8295dff65e2d870118c7ac70a1a548616a7ab7f60625ed51c676aca423ca
+size 19043582

final_model/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:143ef019a635ec41710daf91a1f3029d14c0ed1784f5d1396b88e916624161c8
+size 5304

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:143ef019a635ec41710daf91a1f3029d14c0ed1784f5d1396b88e916624161c8
+size 5304