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varun-v-rao
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gpt2-large-snli-model2

Text Classification
Transformers
TensorBoard
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gpt2
Generated from Trainer
Eval Results
text-generation-inference
Model card Files
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Metrics Community
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End of training

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Files changed (3) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Jun24_08-25-35_gl1520.arc-ts.umich.edu/events.out.tfevents.1719231951.gl1520.arc-ts.umich.edu.3698056.1 +2 -2
README.md CHANGED
@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9158707579760211
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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
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large) on the snli dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2900
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- - Accuracy: 0.9159
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  ## Model description
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@@ -52,7 +52,7 @@ 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: 58
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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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- | 0.3105 | 1.0 | 4292 | 0.2489 | 0.9095 |
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- | 0.2245 | 2.0 | 8584 | 0.2458 | 0.9172 |
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- | 0.1436 | 3.0 | 12876 | 0.2900 | 0.9159 |
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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: 0.9134322292217029
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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 [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large) on the snli dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2969
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+ - Accuracy: 0.9134
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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: 19
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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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+ | 0.3148 | 1.0 | 4292 | 0.2557 | 0.9114 |
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+ | 0.222 | 2.0 | 8584 | 0.2544 | 0.9141 |
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+ | 0.1416 | 3.0 | 12876 | 0.2969 | 0.9134 |
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  ### Framework versions
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