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agomberto
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my_fancy_model

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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agomberto commited on
Commit
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1 Parent(s): 1570bc2

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Files changed (5) hide show
  1. README.md +12 -6
  2. evaluation_report.json +15 -15
  3. loss.json +85 -0
  4. model.safetensors +1 -1
  5. training_args.bin +2 -2
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: distilbert/distilbert-base-uncased
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: my_fancy_model
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  results: []
@@ -15,7 +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/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.6043
 
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  ## Model description
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@@ -40,14 +43,17 @@ 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: 2
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 7 | 0.6127 |
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- | No log | 2.0 | 14 | 0.6043 |
 
 
 
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  ### Framework versions
 
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  base_model: distilbert/distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: my_fancy_model
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  results: []
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.4807
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+ - Accuracy: 0.8
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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: 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 | 7 | 0.5096 | 0.8 |
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+ | No log | 2.0 | 14 | 0.4994 | 0.8 |
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+ | No log | 3.0 | 21 | 0.4905 | 0.8 |
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+ | No log | 4.0 | 28 | 0.4849 | 0.8 |
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+ | No log | 5.0 | 35 | 0.4807 | 0.8 |
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  ### Framework versions
evaluation_report.json CHANGED
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  "weighted avg": {
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- "recall": 0.69,
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- "f1-score": 0.6831291625723332,
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  "support": 100.0
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  }
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  }
 
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  }
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