File size: 1,842 Bytes
873d2bb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
base_model: meta-llama/Llama-2-13b-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16
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. -->
# Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16
This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1196
## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0837 | 0.1 | 33 | 2.1338 |
| 2.0369 | 0.2 | 66 | 2.1293 |
| 2.0893 | 0.31 | 99 | 2.1324 |
| 2.0821 | 0.41 | 132 | 2.1231 |
| 2.0298 | 0.51 | 165 | 2.1225 |
| 2.0817 | 0.61 | 198 | 2.1231 |
| 2.0617 | 0.72 | 231 | 2.1205 |
| 2.0323 | 0.82 | 264 | 2.1206 |
| 2.0552 | 0.92 | 297 | 2.1196 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|