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varun-v-rao
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opt-1.3b-snli-model2

Text Classification
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End of training

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  1. README.md +6 -6
  2. model-00001-of-00002.safetensors +1 -1
  3. model-00002-of-00002.safetensors +1 -1
  4. runs/Feb08_03-48-28_gl1527.arc-ts.umich.edu/events.out.tfevents.1707405273.gl1527.arc-ts.umich.edu.2553686.3 +3 -0
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1039
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- - Accuracy: 0.772
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  ## Model description
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@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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  - train_batch_size: 128
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  - eval_batch_size: 128
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- - seed: 6
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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
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.2934 | 1.0 | 4292 | 0.2396 | 0.9130 |
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- | 0.185 | 2.0 | 8584 | 0.2393 | 0.9191 |
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- | 0.0902 | 3.0 | 12876 | 0.3344 | 0.9197 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0681
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+ - Accuracy: 0.7815
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  ## Model description
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  - learning_rate: 2e-05
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  - train_batch_size: 128
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  - eval_batch_size: 128
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+ - seed: 64
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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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+ | 0.2945 | 1.0 | 4292 | 0.2489 | 0.9114 |
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+ | 0.1849 | 2.0 | 8584 | 0.2324 | 0.9223 |
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+ | 0.0907 | 3.0 | 12876 | 0.3191 | 0.9188 |
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  ### Framework versions
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