File size: 1,687 Bytes
c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 7d70d62 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 c3d5d69 138ddb8 7d70d62 c3d5d69 138ddb8 c3d5d69 7d70d62 138ddb8 |
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/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_summarizer_2
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_summarizer_2
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6392
## 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: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.561 | 1.0 | 394 | 1.5800 |
| 0.5974 | 2.0 | 788 | 1.5667 |
| 0.5388 | 3.0 | 1182 | 1.5681 |
| 0.496 | 4.0 | 1576 | 1.5996 |
| 0.4139 | 5.0 | 1970 | 1.6392 |
### Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1 |