End of training

README.md

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+---
+license: mit
+base_model: BigTMiami/amazon_pretraining_5M_model
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: amazon_helpfulness_clas_on_amazon_5M_model
+  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_clas_on_amazon_5M_model
+
+This model is a fine-tuned version of [BigTMiami/amazon_pretraining_5M_model](https://huggingface.co/BigTMiami/amazon_pretraining_5M_model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4178
+- Accuracy: 0.8534
+- F1 Macro: 0.4605
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
+| 0.4141        | 1.0   | 7204  | 0.4199          | 0.8534   | 0.4605   |
+| 0.4175        | 2.0   | 14408 | 0.4245          | 0.8534   | 0.4605   |
+| 0.4222        | 3.0   | 21612 | 0.4178          | 0.8534   | 0.4605   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Apr09_15-06-14_d6a593d959fc/events.out.tfevents.1712678289.d6a593d959fc.1100.1

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