ucmp137538 commited on
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End of training

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README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: EleutherAI/pythia-1.4b-v0
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: pythia-1.4b-v0-finetuned-squad
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  results: []
@@ -14,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # pythia-1.4b-v0-finetuned-squad
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  This model is a fine-tuned version of [EleutherAI/pythia-1.4b-v0](https://huggingface.co/EleutherAI/pythia-1.4b-v0) 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: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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: 2
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.38.2
 
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  - Pytorch 2.2.1+cu121
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- - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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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: EleutherAI/pythia-1.4b-v0
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  model-index:
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  - name: pythia-1.4b-v0-finetuned-squad
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  results: []
 
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  # pythia-1.4b-v0-finetuned-squad
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  This model is a fine-tuned version of [EleutherAI/pythia-1.4b-v0](https://huggingface.co/EleutherAI/pythia-1.4b-v0) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0972
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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: 0.0002
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3333 | 1.0 | 5539 | 1.0972 |
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+
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  ### Framework versions
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+ - PEFT 0.7.2.dev0
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+ - Transformers 4.36.2
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  - Pytorch 2.2.1+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.2
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