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ronit01
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my_awesome_qa_model

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Transformers
PyTorch
distilbert
Generated from Trainer
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xet
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End of training

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Files changed (4) hide show
  1. README.md +5 -5
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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: 0.5442
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  ## Model description
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@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 26 | 2.0541 |
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- | No log | 2.0 | 52 | 0.7445 |
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- | No log | 3.0 | 78 | 0.5442 |
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  ### Framework versions
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- - Transformers 4.32.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.4
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  - Tokenizers 0.13.3
 
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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: 0.4090
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 26 | 1.5204 |
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+ | No log | 2.0 | 52 | 0.5356 |
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+ | No log | 3.0 | 78 | 0.4090 |
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  ### Framework versions
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+ - Transformers 4.32.1
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.4
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  - Tokenizers 0.13.3
config.json CHANGED
@@ -19,6 +19,6 @@
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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": "4.32.0",
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  "vocab_size": 30522
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  }
 
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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": "4.32.1",
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  "vocab_size": 30522
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  }
pytorch_model.bin CHANGED
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training_args.bin CHANGED
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