scottsuk0306
commited on
Commit
•
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Parent(s):
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Model save
Browse files- README.md +17 -22
- all_results.json +4 -9
- config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +48 -48
- training_args.bin +1 -1
README.md
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- alignment-handbook
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- generated_from_trainer
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datasets:
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model-index:
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- name: zephyr-7b-stem-half
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results: []
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@@ -23,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b-stem-half
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- total_train_batch_size:
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- total_eval_batch_size:
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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_ratio: 0.03
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.
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### Framework versions
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: zephyr-7b-stem-half
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results: []
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# zephyr-7b-stem-half
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2678
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 16
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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_ratio: 0.03
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1064 | 1.0 | 1 | 1.1164 |
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| 1.1064 | 2.0 | 2 | 1.2343 |
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| 1.1064 | 3.0 | 3 | 0.9905 |
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| 1.1064 | 4.0 | 4 | 0.7123 |
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| 1.0149 | 5.0 | 5 | 0.5843 |
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| 1.0149 | 6.0 | 6 | 0.4350 |
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| 1.0149 | 7.0 | 7 | 0.3496 |
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| 1.0149 | 8.0 | 8 | 0.2988 |
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| 1.0149 | 9.0 | 9 | 0.2678 |
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### Framework versions
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all_results.json
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config.json
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