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End of training
Browse files- README.md +68 -0
- adapter_model.safetensors +1 -1
README.md
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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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- trl
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- sft
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- generated_from_trainer
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base_model: m-a-p/OpenCodeInterpreter-DS-6.7B
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model-index:
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- name: OCI-DS-6.7B-schema_0
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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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# OCI-DS-6.7B-schema_0
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This model is a fine-tuned version of [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-a-p/OpenCodeInterpreter-DS-6.7B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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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: 0.01
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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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| 7.821 | 0.19 | 50 | 0.0000 |
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| 2.4109 | 0.38 | 100 | 0.0000 |
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| 0.0018 | 0.57 | 150 | 0.0000 |
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| 0.0 | 0.76 | 200 | 0.0000 |
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| 0.5903 | 0.95 | 250 | 0.0000 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0.dev0
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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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 609660048
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version https://git-lfs.github.com/spec/v1
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oid sha256:35745ab1c85033236fb105607d45032d5fac89a78d3c285787d61787f50d7b30
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size 609660048
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