Model save
Browse files- README.md +67 -0
- adapter_model.safetensors +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jan17_04-54-14_79ac346f26bc/events.out.tfevents.1705467310.79ac346f26bc.958.0 +2 -2
- runs/Jan17_04-54-14_79ac346f26bc/events.out.tfevents.1705487671.79ac346f26bc.958.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +896 -0
README.md
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+
---
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+
license: other
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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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datasets:
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- generator
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base_model: Gryphe/MythoMax-L2-13b
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model-index:
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- name: mythomax-13b-sft-lora
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results: []
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+
---
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| 16 |
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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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# mythomax-13b-sft-lora
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This model is a fine-tuned version of [Gryphe/MythoMax-L2-13b](https://huggingface.co/Gryphe/MythoMax-L2-13b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8712
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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: 1
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### Training results
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| 55 |
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.8799 | 1.0 | 711 | 0.8712 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.0
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 125249184
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version https://git-lfs.github.com/spec/v1
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size 125249184
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.8712352514266968,
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"eval_runtime": 636.6369,
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| 5 |
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"eval_samples": 1769,
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| 6 |
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"eval_samples_per_second": 0.996,
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| 7 |
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"eval_steps_per_second": 0.126,
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"train_loss": 0.9507392455421587,
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| 9 |
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"train_runtime": 19724.4028,
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| 10 |
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"train_samples": 15899,
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| 11 |
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"train_samples_per_second": 0.288,
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| 12 |
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"train_steps_per_second": 0.036
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.8712352514266968,
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| 4 |
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"eval_runtime": 636.6369,
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| 5 |
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"eval_samples": 1769,
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| 6 |
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"eval_samples_per_second": 0.996,
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| 7 |
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"eval_steps_per_second": 0.126
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}
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runs/Jan17_04-54-14_79ac346f26bc/events.out.tfevents.1705467310.79ac346f26bc.958.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 27500
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runs/Jan17_04-54-14_79ac346f26bc/events.out.tfevents.1705487671.79ac346f26bc.958.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:040731fa8f6f79313bcd2a855ebaa6027510c1c57f344dd9e0650b70718f4680
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size 359
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.9507392455421587,
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"train_runtime": 19724.4028,
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| 5 |
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"train_samples": 15899,
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"train_samples_per_second": 0.288,
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"train_steps_per_second": 0.036
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}
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trainer_state.json
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