metadata
license: other
base_model: JackFram/llama-68m
tags:
- generated_from_trainer
model-index:
- name: llama-68m-oasst
results: []
llama-68m-oasst
This model is a fine-tuned version of JackFram/llama-68m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8892
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.219 | 1.0 | 382 | 3.0836 |
| 2.959 | 2.0 | 765 | 2.9271 |
| 2.9323 | 3.0 | 1146 | 2.8892 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0