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opt-125m-finetuned-mnli

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  1. README.md +13 -8
  2. runs/May01_01-14-20_0510fc120d26/events.out.tfevents.1714526060.0510fc120d26.179.0 +2 -2
  3. runs/May01_01-14-20_0510fc120d26/events.out.tfevents.1714526209.0510fc120d26.179.1 +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-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: 0.7820
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- - Accuracy: 0.5027
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  ## Model description
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@@ -43,17 +43,22 @@ The following hyperparameters were used during training:
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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: 5
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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 | 0.7731 | 0.4903 |
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- | No log | 2.0 | 2 | 0.7730 | 0.4969 |
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- | No log | 3.0 | 3 | 0.7644 | 0.4999 |
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- | No log | 4.0 | 4 | 0.7744 | 0.5019 |
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- | No log | 5.0 | 5 | 0.7820 | 0.5027 |
 
 
 
 
 
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  ### Framework versions
 
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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: 0.8182
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+ - Accuracy: 0.5287
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  ## Model description
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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 | 1.0643 | 0.5197 |
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+ | No log | 2.0 | 2 | 1.0065 | 0.5196 |
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+ | No log | 3.0 | 3 | 0.8588 | 0.5191 |
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+ | No log | 4.0 | 4 | 0.7744 | 0.5215 |
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+ | No log | 5.0 | 5 | 0.7629 | 0.5223 |
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+ | No log | 6.0 | 6 | 0.7726 | 0.5260 |
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+ | No log | 7.0 | 7 | 0.7934 | 0.5278 |
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+ | No log | 8.0 | 8 | 0.8182 | 0.5287 |
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+ | No log | 9.0 | 9 | 0.8379 | 0.5278 |
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+ | No log | 10.0 | 10 | 0.8506 | 0.5257 |
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  ### Framework versions
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