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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: batch_size_8_50_epochs_V3
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results: []
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---
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<!-- 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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# batch_size_8_50_epochs_V3
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This model is a fine-tuned version of [JordanWHLewis/batch_size_8_50_epochs_V2](https://huggingface.co/JordanWHLewis/batch_size_8_50_epochs_V2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9178
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## 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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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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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: linear
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- lr_scheduler_warmup_steps: 200
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 17.9139 | 6.67 | 200 | 2.8998 |
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| 0.5858 | 13.33 | 400 | 2.5126 |
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| 0.2578 | 20.0 | 600 | 2.9842 |
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| 0.155 | 26.67 | 800 | 3.1740 |
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| 0.1156 | 33.33 | 1000 | 2.9952 |
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| 0.0971 | 40.0 | 1200 | 2.8684 |
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| 0.075 | 46.67 | 1400 | 2.9178 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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