Commit
•
1be5f09
1
Parent(s):
d78cfb3
Model save
Browse files- README.md +71 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1925 -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: norallm/normistral-7b-warm
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datasets:
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- generator
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model-index:
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- name: ap-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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# ap-normistral-7b-sft-qlora
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This model is a fine-tuned version of [norallm/normistral-7b-warm](https://huggingface.co/norallm/normistral-7b-warm) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6055
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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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| 2.063 | 1.0 | 264 | 2.1618 |
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| 1.2293 | 2.0 | 528 | 1.9121 |
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| 0.6985 | 3.0 | 792 | 1.6916 |
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| 0.4922 | 4.0 | 1056 | 1.6054 |
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| 0.3396 | 5.0 | 1320 | 1.6055 |
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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 sha256:3b5c07d98db55fecda1329927555dad628dfc0ae6094d254e93e0c9ce37ea1d8
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size 83946192
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all_results.json
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{
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"epoch": 5.0,
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"train_loss": 1.0955926315350966,
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"train_runtime": 10263.5013,
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"train_samples": 4208,
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"train_samples_per_second": 1.028,
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"train_steps_per_second": 0.129
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}
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 1.0955926315350966,
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"train_runtime": 10263.5013,
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"train_samples": 4208,
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"train_samples_per_second": 1.028,
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"train_steps_per_second": 0.129
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}
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trainer_state.json
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