Model save
Browse files- README.md +69 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1046 -0
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: mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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- name: Mistral-7B-Instruct-v0.2-multilingual-deita-10k-v0-sft-v0.1
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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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# Mistral-7B-Instruct-v0.2-multilingual-deita-10k-v0-sft-v0.1
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6609
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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: 0.0002
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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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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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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: 0.1
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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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| 0.8266 | 0.2861 | 200 | 0.6874 |
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| 0.7478 | 0.5722 | 400 | 0.6693 |
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| 0.7963 | 0.8584 | 600 | 0.6609 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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 83946192
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version https://git-lfs.github.com/spec/v1
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oid sha256:941201da74138fab79808af623a62a24a05e29e66c5c6bee7fc1b18eddf11494
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size 83946192
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 1.493876632190976e+16,
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"train_loss": 0.7242236417932743,
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"train_runtime": 29465.3177,
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"train_samples": 22361,
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"train_samples_per_second": 0.759,
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"train_steps_per_second": 0.024
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}
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 1.493876632190976e+16,
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"train_loss": 0.7242236417932743,
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"train_runtime": 29465.3177,
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"train_samples": 22361,
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"train_samples_per_second": 0.759,
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"train_steps_per_second": 0.024
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}
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trainer_state.json
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