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git-base-env

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End of training

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  1. README.md +2 -23
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,9 +3,6 @@ license: mit
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  base_model: microsoft/git-base
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  tags:
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  - generated_from_trainer
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- metrics:
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- - wer
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- - rouge
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  model-index:
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  - name: git-base-env
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  results: []
@@ -17,13 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # git-base-env
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 8.4059
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- - Wer: 59.0853
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- - Rouge1: 1.86
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- - Rouge2: 0.57
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- - Rougel: 1.63
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- - Rougelsum: 1.63
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  ## Model description
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@@ -42,24 +32,13 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-07
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Rouge1 | Rouge2 | Rougel | Rougelsum |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:------:|:---------:|
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- | 8.6175 | 0.6 | 30 | 8.4884 | 59.0612 | 1.84 | 0.5 | 1.56 | 1.56 |
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- | 8.5757 | 1.2 | 60 | 8.4512 | 58.9443 | 1.81 | 0.53 | 1.57 | 1.57 |
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- | 8.541 | 1.8 | 90 | 8.4258 | 59.2653 | 1.86 | 0.56 | 1.62 | 1.62 |
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- | 8.5196 | 2.4 | 120 | 8.4114 | 58.9926 | 1.84 | 0.57 | 1.62 | 1.62 |
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- | 8.5091 | 3.0 | 150 | 8.4059 | 59.0853 | 1.86 | 0.57 | 1.63 | 1.63 |
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-
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  ### Framework versions
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  base_model: microsoft/git-base
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: git-base-env
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  results: []
 
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  # git-base-env
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
 
 
 
 
 
 
 
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  ## Model description
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  ### Training hyperparameters
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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: 1
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 706584273
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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