sharmadhruv commited on
Commit
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1 Parent(s): 9fd4309

End of training

Browse files
README.md CHANGED
@@ -1,22 +1,21 @@
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- ---
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- base_model: google/bigbird-pegasus-large-pubmed
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- library_name: peft
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- license: apache-2.0
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: qa_by_bird_prompt_tuned
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- results: []
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- ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # qa_by_bird_prompt_tuned
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- This model is a fine-tuned version of [google/bigbird-pegasus-large-pubmed](https://huggingface.co/google/bigbird-pegasus-large-pubmed) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.6933
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  ## Model description
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@@ -35,7 +34,7 @@ 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: 0.002
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
@@ -47,15 +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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- | 4.7942 | 1.0 | 1000 | 4.7216 |
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- | 4.7344 | 2.0 | 2000 | 4.6949 |
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- | 4.7072 | 3.0 | 3000 | 4.6933 |
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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 2.2.2
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- - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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+ ---
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2-0.5B-Instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: qa_by_bird_prompt_tuned
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+ results: []
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+ ---
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # qa_by_bird_prompt_tuned
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+ This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 10.3352
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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: 2e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 12.2464 | 1.0 | 1000 | 10.9966 |
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+ | 10.3545 | 2.0 | 2000 | 10.3575 |
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+ | 10.3276 | 3.0 | 3000 | 10.3352 |
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  ### Framework versions
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  - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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