File size: 1,980 Bytes
9db510a a4c2cfd 9db510a a4c2cfd 9db510a a4c2cfd 9db510a |
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 69 70 71 72 73 74 75 76 77 78 79 80 |
---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- GAIR/lima
model-index:
- name: llama2-lima
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. -->
# llama2-lima
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5297
## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9786 | 1.0 | 6 | 2.6180 |
| 1.75 | 2.0 | 12 | 1.9988 |
| 1.5489 | 3.0 | 18 | 1.9909 |
| 1.3631 | 4.0 | 24 | 1.9766 |
| 1.0134 | 5.0 | 30 | 2.1003 |
| 0.8425 | 6.0 | 36 | 2.1683 |
| 0.7051 | 7.0 | 42 | 2.3737 |
| 0.594 | 8.0 | 48 | 2.5296 |
| 0.5107 | 9.0 | 54 | 2.5203 |
| 0.4594 | 10.0 | 60 | 2.5297 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2
|