|
--- |
|
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_8 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# lora_evo_ta_all_layers_8 |
|
|
|
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: 2.9102 |
|
|
|
## Model description |
|
|
|
*BEST MODEL* |
|
|
|
lora_alpha = 32 |
|
|
|
lora_dropout = 0.05 |
|
|
|
lora_r = 16 |
|
|
|
epochs = 3 |
|
|
|
learning rate = 3e-4 |
|
|
|
warmup_steps=0.5 |
|
|
|
gradient_accumulation_steps = 1 <---- virtual batch of 1 (update every sample) |
|
|
|
train_batch = 1 |
|
|
|
eval_batch = 1 |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
in files |
|
|
|
## 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: 0.5 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.0004 | 1.0 | 266 | 2.9540 | |
|
| 2.8175 | 2.0 | 532 | 2.9155 | |
|
| 2.6755 | 3.0 | 798 | 2.9102 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
