license: apache-2.0 | |
library_name: peft | |
tags: | |
- generated_from_trainer | |
base_model: togethercomputer/evo-1-8k-base | |
model-index: | |
- name: lora_evo_ta_all_layers_10 | |
results: [] | |
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# lora_evo_ta_all_layers_10 | |
This model is a fine-tuned version of [togethercomputer/evo-1-8k-base](https://huggingface.co/togethercomputer/evo-1-8k-base) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 2.9544 | |
## Model description | |
More information needed | |
## Intended uses & limitations | |
More information needed | |
## Training and evaluation data | |
More information needed | |
## Training procedure | |
### Training hyperparameters | |
The following hyperparameters were used during training: | |
- learning_rate: 0.0003 | |
- train_batch_size: 1 | |
- eval_batch_size: 1 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: constant | |
- lr_scheduler_warmup_steps: 10 | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 3.0259 | 1.0 | 266 | 2.9633 | | |
| 2.8429 | 2.0 | 532 | 2.9493 | | |
| 2.688 | 3.0 | 798 | 2.9544 | | |
### Framework versions | |
- PEFT 0.11.1 | |
- Transformers 4.41.1 | |
- Pytorch 2.3.0+cu121 | |
- Datasets 2.19.1 | |
- Tokenizers 0.19.1 |