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---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-test-6
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. -->
# myBit-Llama2-jp-127M-test-6
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4087
## 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: 4.8e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 250
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.8677 | 0.04 | 100 | 9.1385 |
| 8.4868 | 0.07 | 200 | 7.7575 |
| 7.2146 | 0.11 | 300 | 6.8688 |
| 6.6972 | 0.14 | 400 | 6.5702 |
| 6.4628 | 0.18 | 500 | 6.3746 |
| 6.3058 | 0.22 | 600 | 6.2362 |
| 6.1813 | 0.25 | 700 | 6.1241 |
| 6.0708 | 0.29 | 800 | 6.0228 |
| 5.963 | 0.33 | 900 | 5.9109 |
| 5.8577 | 0.36 | 1000 | 5.7948 |
| 5.7614 | 0.4 | 1100 | 5.7155 |
| 5.6876 | 0.43 | 1200 | 5.6376 |
| 5.6044 | 0.47 | 1300 | 5.5631 |
| 5.5538 | 0.51 | 1400 | 5.5045 |
| 5.5007 | 0.54 | 1500 | 5.4649 |
| 5.4556 | 0.58 | 1600 | 5.4282 |
| 5.4246 | 0.62 | 1700 | 5.3917 |
| 5.3982 | 0.65 | 1800 | 5.3762 |
| 5.3854 | 0.69 | 1900 | 5.3546 |
| 5.365 | 0.72 | 2000 | 5.3447 |
| 5.3579 | 0.76 | 2100 | 5.3473 |
| 5.3552 | 0.8 | 2200 | 5.3463 |
| 5.3682 | 0.83 | 2300 | 5.3630 |
| 5.3743 | 0.87 | 2400 | 5.3718 |
| 5.3957 | 0.91 | 2500 | 5.3887 |
| 5.4079 | 0.94 | 2600 | 5.4010 |
| 5.423 | 0.98 | 2700 | 5.4087 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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