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Browse files- README.md +2 -2
- all_results.json +8 -8
- eval_results.json +4 -4
- pytorch_model.bin +1 -1
- train_results.json +4 -4
- trainer_state.json +13 -7
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the GLUE RTE dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.7112
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## Model description
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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:
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- eval_batch_size: 8
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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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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the GLUE RTE dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0566
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- Accuracy: 0.7112
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## Model description
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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: 8
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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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all_results.json
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"epoch": 5.0,
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"train_loss": 0.
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"train_runtime":
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"eval_runtime": 0.784,
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"eval_samples_per_second": 353.301,
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"eval_steps_per_second": 44.641,
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"train_loss": 0.321053017102755,
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eval_results.json
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pytorch_model.bin
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train_results.json
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trainer_state.json
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training_args.bin
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