varun-v-rao
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End of training
Browse files- README.md +7 -7
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [varun-v-rao/roberta-base-fp-sick](https://huggingface.co/varun-v-rao/roberta-base-fp-sick) on the snli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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- learning_rate: 2e-05
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- train_batch_size: 256
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- eval_batch_size: 128
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- seed:
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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: 3
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8710627921154237
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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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This model is a fine-tuned version of [varun-v-rao/roberta-base-fp-sick](https://huggingface.co/varun-v-rao/roberta-base-fp-sick) on the snli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3422
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- Accuracy: 0.8711
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## Model description
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- learning_rate: 2e-05
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- train_batch_size: 256
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- eval_batch_size: 128
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- seed: 48
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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: 3
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4756 | 1.0 | 2146 | 0.3687 | 0.8599 |
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| 0.4455 | 2.0 | 4292 | 0.3476 | 0.8686 |
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| 0.4313 | 3.0 | 6438 | 0.3422 | 0.8711 |
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### Framework versions
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model.safetensors
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