End of training

README.md

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+---
+license: mit
+base_model: BigTMiami/amazon_pretraining_5M_model_corrected
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: amazon_helpfulness_classification_on_base_from_DAPT_5M_pretraining
+  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. -->
+
+# amazon_helpfulness_classification_on_base_from_DAPT_5M_pretraining
+
+This model is a fine-tuned version of [BigTMiami/amazon_pretraining_5M_model_corrected](https://huggingface.co/BigTMiami/amazon_pretraining_5M_model_corrected) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7517
+- Accuracy: 0.8699
+- F1 Macro: 0.6736
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
+| 0.3151        | 1.0   | 7204  | 0.3461          | 0.8766   | 0.6664   |
+| 0.2861        | 2.0   | 14408 | 0.3429          | 0.8736   | 0.6544   |
+| 0.2788        | 3.0   | 21612 | 0.3600          | 0.8722   | 0.6466   |
+| 0.2585        | 4.0   | 28816 | 0.3805          | 0.8682   | 0.6789   |
+| 0.1873        | 5.0   | 36020 | 0.5306          | 0.871    | 0.6660   |
+| 0.1333        | 6.0   | 43224 | 0.6493          | 0.8674   | 0.6675   |
+| 0.1369        | 7.0   | 50428 | 0.7657          | 0.869    | 0.6799   |
+| 0.0936        | 8.0   | 57632 | 0.8041          | 0.8674   | 0.6779   |
+| 0.1062        | 9.0   | 64836 | 0.9458          | 0.867    | 0.6633   |
+| 0.0463        | 10.0  | 72040 | 1.0079          | 0.8682   | 0.6684   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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