File size: 2,448 Bytes
6b52d5b |
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 81 82 |
---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Summary_L3_1000steps_1e7rate_SFT2
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. -->
# Summary_L3_1000steps_1e7rate_SFT2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5908
## 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: 1e-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1137 | 0.2 | 50 | 2.1001 |
| 2.0888 | 0.4 | 100 | 2.0502 |
| 1.9941 | 0.6 | 150 | 1.9720 |
| 1.9206 | 0.8 | 200 | 1.9029 |
| 1.8477 | 1.0 | 250 | 1.8416 |
| 1.7846 | 1.2 | 300 | 1.7881 |
| 1.7997 | 1.4 | 350 | 1.7414 |
| 1.6961 | 1.6 | 400 | 1.7028 |
| 1.6667 | 1.8 | 450 | 1.6706 |
| 1.6768 | 2.0 | 500 | 1.6449 |
| 1.6485 | 2.2 | 550 | 1.6250 |
| 1.6208 | 2.4 | 600 | 1.6107 |
| 1.6199 | 2.6 | 650 | 1.6006 |
| 1.6081 | 2.8 | 700 | 1.5947 |
| 1.5993 | 3.0 | 750 | 1.5916 |
| 1.5986 | 3.2 | 800 | 1.5910 |
| 1.5963 | 3.4 | 850 | 1.5907 |
| 1.6348 | 3.6 | 900 | 1.5907 |
| 1.6064 | 3.8 | 950 | 1.5908 |
| 1.5811 | 4.0 | 1000 | 1.5908 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
|