End of training
Browse files- README.md +29 -10
- adapter_model.bin +2 -2
README.md
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license: other
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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: deepseek-ai/deepseek-coder-6.7b-instruct
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model-index:
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results: []
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---
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datasets:
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- path: vdaita/editpackft_inst_code
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type: oasst
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dataset_prepared_path:
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sequence_len: 4096
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sample_packing: true
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project: huggingface
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wandb_log_model: axolotl-dscoder-code-
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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fsdp:
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fsdp_config:
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```
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</details><br>
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#
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the None dataset.
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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license: other
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library_name: peft
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tags:
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- axolotl
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- generated_from_trainer
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base_model: deepseek-ai/deepseek-coder-6.7b-instruct
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model-index:
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- name: diff-deepseek-code-ir
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results: []
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---
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datasets:
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- path: vdaita/editpackft_inst_code
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split: train
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type: oasst
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dataset_prepared_path:
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test_datasets:
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- path: vdaita/editpackft_inst_code
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split: test
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type: oasst
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output_dir: ./outputs/dscoder-code-ir-3
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sequence_len: 4096
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sample_packing: true
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lora_target_linear: true
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lora_fan_in_fan_out:
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lora_modules_to_save:
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- embed_tokens
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- lm_head
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wandb_project: huggingface
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wandb_log_model: axolotl-dscoder-code-3
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hub_model_id: vdaita/diff-deepseek-code-ir
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hub_strategy: every_save
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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fsdp:
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fsdp_config:
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special_tokens:
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bos_token: "<|begin_of_sentence|>"
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eos_token: "<|end_of_sentence|>"
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pad_token: "<|end_of_sentence|>"
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```
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</details><br>
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# diff-deepseek-code-ir
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2677
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6921 | 0.03 | 1 | 0.7832 |
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| 0.5453 | 0.25 | 10 | 0.5221 |
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| 0.3129 | 0.51 | 20 | 0.2985 |
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| 0.2527 | 0.76 | 30 | 0.2677 |
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### Framework versions
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adapter_model.bin
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size
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version https://git-lfs.github.com/spec/v1
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size 848460690
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