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distilbert-base-uncased-finetuned-cola

Text Classification
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Rocketknight1 HF staff commited on
Commit
5786e32
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Training in progress epoch 0

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Files changed (6) hide show
  1. README.md +6 -8
  2. config.json +1 -1
  3. logs/train/events.out.tfevents.1646832685.matt-TRX40-AORUS-PRO-WIFI.32135.0.v2 +3 -0
  4. logs/train/events.out.tfevents.1646832793.matt-TRX40-AORUS-PRO-WIFI.32668.0.v2 +3 -0
  5. logs/validation/events.out.tfevents.1646832811.matt-TRX40-AORUS-PRO-WIFI.32668.1.v2 +3 -0
  6. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ 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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- - Train Loss: 0.1847
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- - Validation Loss: 0.5715
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- - Train Matthews Correlation: 0.5189
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- - Epoch: 2
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  ## Model description
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@@ -43,14 +43,12 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
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  |:----------:|:---------------:|:--------------------------:|:-----:|
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- | 0.5185 | 0.4449 | 0.4990 | 0 |
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- | 0.3216 | 0.4586 | 0.5190 | 1 |
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- | 0.1847 | 0.5715 | 0.5189 | 2 |
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  ### Framework versions
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- - Transformers 4.16.0.dev0
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  - TensorFlow 2.8.0-rc0
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  - Datasets 1.17.0
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  - Tokenizers 0.11.0
 
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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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+ - Train Loss: 0.5200
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+ - Validation Loss: 0.0
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+ - Train Matthews Correlation: 0.4384
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
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  |:----------:|:---------------:|:--------------------------:|:-----:|
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+ | 0.5200 | 0.0 | 0.4384 | 0 |
 
 
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  ### Framework versions
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+ - Transformers 4.18.0.dev0
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  - TensorFlow 2.8.0-rc0
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  - Datasets 1.17.0
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  - Tokenizers 0.11.0
config.json CHANGED
@@ -18,6 +18,6 @@
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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- "transformers_version": "4.16.0.dev0",
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  "vocab_size": 30522
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  }
 
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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+ "transformers_version": "4.18.0.dev0",
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  "vocab_size": 30522
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  }
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