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squad_qa_model

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End of training

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Files changed (7) hide show
  1. README.md +6 -6
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar19_19-36-23_LY-2023-JM/events.out.tfevents.1710876984.LY-2023-JM.8404.0 +3 -0
  5. runs/Mar19_19-48-06_LY-2023-JM/events.out.tfevents.1710877687.LY-2023-JM.26672.0 +3 -0
  6. runs/Mar19_19-58-46_LY-2023-JM/events.out.tfevents.1710878326.LY-2023-JM.8656.0 +3 -0
  7. training_args.bin +2 -2
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: 3.5869
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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 | 50 | 4.1930 |
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- | No log | 2.0 | 100 | 3.6879 |
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- | No log | 3.0 | 150 | 3.5869 |
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  ### Framework versions
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- - Transformers 4.38.1
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  - Pytorch 2.2.1+cpu
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- - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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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: 4.8910
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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 | 13 | 5.2553 |
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+ | No log | 2.0 | 26 | 5.0031 |
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+ | No log | 3.0 | 39 | 4.8910 |
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  ### Framework versions
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+ - Transformers 4.38.2
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  - Pytorch 2.2.1+cpu
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+ - Datasets 2.18.0
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  - Tokenizers 0.15.2
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": "4.38.1",
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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": "4.38.2",
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  "vocab_size": 30522
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  }
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