temporary0-0name commited on
Commit
8ff6249
1 Parent(s): 0fe748a

End of training

Browse files
README.md CHANGED
@@ -1,6 +1,5 @@
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  ---
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- license: apache-2.0
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- base_model: temporary0-0name/run_opt1
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -15,9 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # run_opt1
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- This model is a fine-tuned version of [temporary0-0name/run_opt1](https://huggingface.co/temporary0-0name/run_opt1) on the wikitext dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0540
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  ## Model description
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@@ -45,18 +42,16 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 100
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- - num_epochs: 1
 
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0126 | 0.55 | 100 | 0.0540 |
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  ### Framework versions
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- - Transformers 4.33.1
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- - Pytorch 1.12.1
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  - Datasets 2.14.6
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- - Tokenizers 0.13.3
 
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  ---
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+ base_model: temporary0-0name/rand_model
 
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  # run_opt1
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+ This model is a fine-tuned version of [temporary0-0name/rand_model](https://huggingface.co/temporary0-0name/rand_model) on the wikitext dataset.
 
 
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
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+ - Transformers 4.35.0
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+ - Pytorch 2.0.1+cu118
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  - Datasets 2.14.6
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+ - Tokenizers 0.14.1
config.json CHANGED
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  "architectures": [
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  "BertLMHeadModel"
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  ],
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  "pad_token_id": 0,
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generation_config.json CHANGED
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