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--- |
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license: other |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: 6.7b-ri-reproduce-combined-4-gpu-20-val-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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# 6.7b-ri-reproduce-combined-4-gpu-20-val-v3 |
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This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9434 |
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- Accuracy: 0.0329 |
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- Perplexity: 51.5916 |
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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: 9e-07 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 100 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 15.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Perplexity | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:| |
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| 2.5731 | 1.0 | 79 | 2.6113 | 0.0317 | 13.6171 | |
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| 2.206 | 2.0 | 158 | 2.4805 | 0.0328 | 11.9469 | |
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| 1.9105 | 3.0 | 237 | 2.4512 | 0.0333 | 11.6019 | |
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| 1.6301 | 4.0 | 316 | 2.5078 | 0.0345 | 12.2780 | |
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| 1.3733 | 5.0 | 395 | 2.6816 | 0.0342 | 14.6090 | |
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| 1.1337 | 6.0 | 474 | 3.0078 | 0.0330 | 20.2431 | |
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| 0.9619 | 7.0 | 553 | 3.1777 | 0.0330 | 23.9923 | |
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| 0.798 | 8.0 | 632 | 3.2559 | 0.0330 | 25.9419 | |
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| 0.6653 | 9.0 | 711 | 3.4277 | 0.0331 | 30.8068 | |
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| 0.552 | 10.0 | 790 | 3.5566 | 0.0333 | 35.0453 | |
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| 0.4568 | 11.0 | 869 | 3.7324 | 0.0324 | 41.7802 | |
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| 0.3756 | 12.0 | 948 | 3.8184 | 0.0328 | 45.5295 | |
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| 0.3119 | 13.0 | 1027 | 3.8477 | 0.0331 | 46.8831 | |
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| 0.2448 | 14.0 | 1106 | 3.9062 | 0.0329 | 49.7122 | |
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| 0.1986 | 15.0 | 1185 | 3.9434 | 0.0329 | 51.5916 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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