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End of training

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Files changed (4) hide show
  1. README.md +14 -12
  2. model.safetensors +1 -1
  3. special_tokens_map.json +5 -35
  4. tokenizer_config.json +0 -7
README.md CHANGED
@@ -1,6 +1,7 @@
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  ---
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  library_name: transformers
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- base_model: jtatman/distillbert-base-sst-myers-briggs-description-classifier
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distillbert-base-sst-myers-briggs-mixed-classifier
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- This model is a fine-tuned version of [jtatman/distillbert-base-sst-myers-briggs-description-classifier](https://huggingface.co/jtatman/distillbert-base-sst-myers-briggs-description-classifier) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4142
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  ## Model description
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@@ -35,7 +36,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 8
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
@@ -45,14 +46,15 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.5989 | 1.0 | 3000 | 0.4142 |
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- | 0.1608 | 2.0 | 6000 | 0.4180 |
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- | 0.4601 | 3.0 | 9000 | 0.4909 |
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- | 0.2462 | 4.0 | 12000 | 0.4533 |
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- | 0.3364 | 5.0 | 15000 | 0.6565 |
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- | 0.0029 | 6.0 | 18000 | 0.6252 |
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # distillbert-base-sst-myers-briggs-mixed-classifier
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+ This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2795
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 32
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.3913 | 1.0 | 1250 | 0.3104 |
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+ | 0.2896 | 2.0 | 2500 | 0.2795 |
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+ | 0.1814 | 3.0 | 3750 | 0.2810 |
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+ | 0.1271 | 4.0 | 5000 | 0.3228 |
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+ | 0.042 | 5.0 | 6250 | 0.3681 |
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+ | 0.1128 | 6.0 | 7500 | 0.4417 |
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+ | 0.0383 | 7.0 | 8750 | 0.4947 |
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  ### Framework versions
model.safetensors CHANGED
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special_tokens_map.json CHANGED
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- "rstrip": false,
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  }
 
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tokenizer_config.json CHANGED
@@ -47,19 +47,12 @@
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  "do_lower_case": true,
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  "extra_special_tokens": {},
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  "mask_token": "[MASK]",
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  "unk_token": "[UNK]"
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  "tokenizer_class": "DistilBertTokenizer",
 
 
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