File size: 2,187 Bytes
29ec2fd |
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 |
output
---
license: apache-2.0
base_model: unsloth/tinyllama-bnb-4bit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: tinyllama-bnb-4bit-ft-codeAlpaca
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. -->
# tinyllama-bnb-4bit-ft-codeAlpaca
This model is a fine-tuned version of [unsloth/tinyllama-bnb-4bit](https://huggingface.co/unsloth/tinyllama-bnb-4bit) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7926
## 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: 8
- seed: 3407
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7027 | 0.33 | 20 | 1.6844 |
| 1.2736 | 0.66 | 40 | 1.2825 |
| 1.091 | 0.99 | 60 | 1.0799 |
| 0.9683 | 1.32 | 80 | 0.9900 |
| 0.9431 | 1.65 | 100 | 0.9328 |
| 0.9352 | 1.98 | 120 | 0.8907 |
| 0.857 | 2.31 | 140 | 0.8580 |
| 0.8316 | 2.64 | 160 | 0.8346 |
| 0.8351 | 2.98 | 180 | 0.8203 |
| 0.8204 | 3.31 | 200 | 0.8103 |
| 0.7888 | 3.64 | 220 | 0.8035 |
| 0.7677 | 3.97 | 240 | 0.7985 |
| 0.7753 | 4.3 | 260 | 0.7952 |
| 0.7912 | 4.63 | 280 | 0.7931 |
| 0.7631 | 4.96 | 300 | 0.7926 |
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |