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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-125m |
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metrics: |
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- accuracy |
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model-index: |
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- name: opt-125m-finetuned-mnli-mm |
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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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# opt-125m-finetuned-mnli-mm |
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7598 |
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- Accuracy: 0.4952 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 1 | 0.7366 | 0.4926 | |
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| No log | 2.0 | 2 | 0.7388 | 0.5004 | |
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| No log | 3.0 | 3 | 0.7405 | 0.5053 | |
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| No log | 4.0 | 4 | 0.7420 | 0.5072 | |
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| No log | 5.0 | 5 | 0.7433 | 0.5104 | |
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| No log | 6.0 | 6 | 0.7445 | 0.5104 | |
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| No log | 7.0 | 7 | 0.7456 | 0.5108 | |
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| No log | 8.0 | 8 | 0.7464 | 0.5125 | |
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| No log | 9.0 | 9 | 0.7469 | 0.5135 | |
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| No log | 10.0 | 10 | 0.7470 | 0.5131 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
