End of training

README.md

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+---
+license: mit
+base_model: BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dapt_plus_tapt_amazon_helpfulness_classification_v2
+  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. -->
+
+# dapt_plus_tapt_amazon_helpfulness_classification_v2
+
+This model is a fine-tuned version of [BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model](https://huggingface.co/BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3267
+- Accuracy: 0.8628
+- F1 Macro: 0.6898
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 0.3333        | 1.0   | 1563 | 0.3267          | 0.8628   | 0.6898   |
+| 0.309         | 2.0   | 3126 | 0.3859          | 0.8696   | 0.6292   |
+| 0.2443        | 3.0   | 4689 | 0.4222          | 0.8664   | 0.6222   |
+| 0.1683        | 4.0   | 6252 | 0.5618          | 0.867    | 0.6315   |
+| 0.1591        | 5.0   | 7815 | 0.6760          | 0.8668   | 0.6678   |
+| 0.0877        | 6.0   | 9378 | 0.8763          | 0.8614   | 0.6678   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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