Model save
Browse files- README.md +70 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1995 -0
README.md
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| 1 |
+
---
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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: NorLLM-AI/NorMistral-7B
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datasets:
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- generator
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model-index:
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- name: norllm-ai-normistral-7b-sft-qlora
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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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# norllm-ai-normistral-7b-sft-qlora
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This model is a fine-tuned version of [NorLLM-AI/NorMistral-7B](https://huggingface.co/NorLLM-AI/NorMistral-7B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4403
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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: 8
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.7274 | 1.0 | 274 | 1.9432 |
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| 1.1514 | 2.0 | 549 | 1.7111 |
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| 0.645 | 3.0 | 823 | 1.5109 |
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| 0.4291 | 4.0 | 1098 | 1.4415 |
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| 0.3392 | 4.99 | 1370 | 1.4403 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.1
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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:fc3e5e1f31fce526b019aaea0f5e020a78b105cc28acb9108258c5d58098e08e
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size 83946192
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all_results.json
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{
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"epoch": 4.99,
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"train_loss": 1.004000898782354,
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"train_runtime": 10982.2688,
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"train_samples": 4208,
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"train_samples_per_second": 0.998,
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"train_steps_per_second": 0.125
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}
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train_results.json
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{
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"epoch": 4.99,
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"train_loss": 1.004000898782354,
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"train_runtime": 10982.2688,
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"train_samples": 4208,
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"train_samples_per_second": 0.998,
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"train_steps_per_second": 0.125
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}
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trainer_state.json
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