ingeniumacademy commited on
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End of training

Browse files
README.md CHANGED
@@ -1,8 +1,9 @@
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  ---
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- license: mit
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- base_model: gpt2
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: reuters-gpt2-text-gen
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  results: []
@@ -13,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # reuters-gpt2-text-gen
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.0119
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  ## Model description
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@@ -42,19 +43,20 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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- - num_epochs: 2
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.235 | 1.0 | 269 | 5.3131 |
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- | 4.8859 | 1.99 | 538 | 5.0119 |
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  ### Framework versions
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- - Transformers 4.33.1
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
 
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  ---
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+ license: apache-2.0
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+ library_name: peft
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  tags:
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  - generated_from_trainer
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+ base_model: tiiuae/falcon-7b
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  model-index:
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  - name: reuters-gpt2-text-gen
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  results: []
 
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  # reuters-gpt2-text-gen
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+ This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0295
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  ## Model description
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  - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.9745 | 0.96 | 15 | 2.0295 |
 
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  ### Framework versions
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+ - PEFT 0.11.1
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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