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SimoneJLaudani
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trainerH

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
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End of training

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Files changed (9) hide show
  1. README.md +15 -15
  2. config.json +4 -3
  3. model.safetensors +2 -2
  4. runs/Mar23_13-11-27_3015ac71de9b/events.out.tfevents.1711199496.3015ac71de9b.221.0 +3 -0
  5. runs/Mar23_13-11-27_3015ac71de9b/events.out.tfevents.1711199793.3015ac71de9b.221.1 +3 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +1 -3
  8. training_args.bin +1 -1
  9. vocab.txt +0 -0
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # trainerH
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6940
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- - Precision: 0.7930
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- - Recall: 0.7871
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- - F1: 0.7867
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- - Accuracy: 0.7871
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  ## Model description
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@@ -55,18 +55,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.3386 | 1.07 | 30 | 0.6489 | 0.7405 | 0.7395 | 0.7358 | 0.7395 |
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- | 0.2218 | 2.14 | 60 | 0.6254 | 0.7593 | 0.7591 | 0.7570 | 0.7591 |
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- | 0.1485 | 3.21 | 90 | 0.6242 | 0.7842 | 0.7815 | 0.7801 | 0.7815 |
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- | 0.0913 | 4.29 | 120 | 0.6697 | 0.7739 | 0.7703 | 0.7693 | 0.7703 |
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- | 0.0646 | 5.36 | 150 | 0.6619 | 0.7893 | 0.7871 | 0.7862 | 0.7871 |
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- | 0.0484 | 6.43 | 180 | 0.7026 | 0.8078 | 0.8011 | 0.7998 | 0.8011 |
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- | 0.0423 | 7.5 | 210 | 0.6913 | 0.7904 | 0.7871 | 0.7864 | 0.7871 |
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  ### Framework versions
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- - Transformers 4.39.0
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  ---
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  license: apache-2.0
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+ base_model: distilbert-base-cased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # trainerH
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+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6797
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+ - Precision: 0.7850
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+ - Recall: 0.7787
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+ - F1: 0.7762
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+ - Accuracy: 0.7787
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 1.8653 | 1.07 | 30 | 1.7135 | 0.3177 | 0.3501 | 0.2302 | 0.3501 |
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+ | 1.5399 | 2.14 | 60 | 1.3143 | 0.6622 | 0.5490 | 0.5241 | 0.5490 |
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+ | 1.1791 | 3.21 | 90 | 1.0361 | 0.7271 | 0.7115 | 0.7074 | 0.7115 |
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+ | 0.891 | 4.29 | 120 | 0.8605 | 0.7451 | 0.7255 | 0.7214 | 0.7255 |
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+ | 0.6817 | 5.36 | 150 | 0.7495 | 0.7595 | 0.7507 | 0.7470 | 0.7507 |
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+ | 0.539 | 6.43 | 180 | 0.6965 | 0.7987 | 0.7927 | 0.7918 | 0.7927 |
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+ | 0.4777 | 7.5 | 210 | 0.6830 | 0.7787 | 0.7703 | 0.7680 | 0.7703 |
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  ### Framework versions
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+ - Transformers 4.39.1
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "distilbert-base-uncased",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForSequenceClassification"
@@ -31,6 +31,7 @@
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  "model_type": "distilbert",
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  "n_heads": 12,
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  "n_layers": 6,
 
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  "pad_token_id": 0,
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  "problem_type": "single_label_classification",
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  "qa_dropout": 0.1,
@@ -38,6 +39,6 @@
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.39.0",
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- "vocab_size": 30522
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  }
 
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  {
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+ "_name_or_path": "distilbert-base-cased",
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  "activation": "gelu",
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  "architectures": [
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  "DistilBertForSequenceClassification"
 
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  "model_type": "distilbert",
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  "n_heads": 12,
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  "n_layers": 6,
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+ "output_past": true,
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  "pad_token_id": 0,
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  "problem_type": "single_label_classification",
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  "qa_dropout": 0.1,
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.39.1",
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+ "vocab_size": 28996
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  }
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tokenizer.json ADDED
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tokenizer_config.json CHANGED
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  },
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- "do_lower_case": true,
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vocab.txt CHANGED
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