End of training
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README.md
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metrics:
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- accuracy
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model-index:
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- name: roberta-base-sick
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results:
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- task:
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name: Text Classification
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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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should probably proofread and complete it, then remove this comment. -->
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# roberta-base-sick
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the snli-cf-kaushik 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.
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## Model description
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 32
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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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| No log | 1.0 | 70 | 0.
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| No log | 2.0 | 140 | 0.
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| No log | 3.0 | 210 | 0.
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### Framework versions
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metrics:
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- accuracy
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model-index:
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- name: roberta-base-fp-sick
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results:
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- task:
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name: Text Classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.4395
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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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+
# roberta-base-fp-sick
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the snli-cf-kaushik dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1373
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- Accuracy: 0.4395
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## Model description
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 32
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- seed: 33
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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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| No log | 1.0 | 70 | 0.4164 | 0.8485 |
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| No log | 2.0 | 140 | 0.3497 | 0.8747 |
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| No log | 3.0 | 210 | 0.3346 | 0.8727 |
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### Framework versions
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model.safetensors
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