Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- runs/Sep23_01-34-06_COE-CS-sv003/events.out.tfevents.1727055551.COE-CS-sv003.724332.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +2660 -0
README.md
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+
---
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+
library_name: transformers
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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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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model-index:
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- name: feedback_p0.1_seed42_level2_raredirtybatch16_reverse
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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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# feedback_p0.1_seed42_level2_raredirtybatch16_reverse
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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 the None dataset.
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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: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 1
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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: 16
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- total_eval_batch_size: 4
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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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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 194827769610240.0,
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"train_loss": 0.5009698675307838,
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"train_runtime": 16706.09,
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"train_samples": 98952,
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"train_samples_per_second": 1.782,
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"train_steps_per_second": 0.111
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.44.2"
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}
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runs/Sep23_01-34-06_COE-CS-sv003/events.out.tfevents.1727055551.COE-CS-sv003.724332.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9edbd17cbcb2764f7c0946dc6ff730faa48f37d9fa80bd95a4e27698b9a42bc
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size 84474
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 194827769610240.0,
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"train_loss": 0.5009698675307838,
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+
"train_runtime": 16706.09,
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"train_samples": 98952,
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"train_samples_per_second": 1.782,
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"train_steps_per_second": 0.111
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}
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trainer_state.json
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