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--- |
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license: other |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: facebook/opt-350m |
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model-index: |
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- name: opt-sum-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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sebastien-roig/opt-sum/runs/wr4v0tm0) |
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# opt-sum-v3 |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4983 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 100 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.9488 | 0.1672 | 100 | 2.5546 | |
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| 2.5852 | 0.3343 | 200 | 2.5237 | |
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| 2.5751 | 0.5015 | 300 | 2.5105 | |
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| 2.5611 | 0.6686 | 400 | 2.5036 | |
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| 2.5522 | 0.8358 | 500 | 2.4983 | |
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### Framework versions |
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- PEFT 0.11.2.dev0 |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
