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DistilbertIronyResults

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hamzasidat/Hamzas_Distilbert_Irony

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Files changed (5) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Mar10_16-49-07_0e4aa7e1afd8/events.out.tfevents.1710089348.0e4aa7e1afd8.6349.0 +3 -0
  4. runs/Mar10_16-49-07_0e4aa7e1afd8/events.out.tfevents.1710089817.0e4aa7e1afd8.6349.1 +3 -0
  5. training_args.bin +1 -1
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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5985
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- - Accuracy: 0.6806
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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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
@@ -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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- | No log | 1.0 | 90 | 0.6265 | 0.6429 |
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- | No log | 2.0 | 180 | 0.5992 | 0.6838 |
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- | No log | 3.0 | 270 | 0.5985 | 0.6806 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6016
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+ - Accuracy: 0.6859
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 179 | 0.6267 | 0.6241 |
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+ | No log | 2.0 | 358 | 0.6016 | 0.6859 |
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+ | 0.5294 | 3.0 | 537 | 0.6459 | 0.6764 |
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  ### Framework versions
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