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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-1
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-1
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: 10.6136
## 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: 0.0024
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.3834 | 0.04 | 200 | 6.5397 |
| 6.8679 | 0.07 | 400 | 9.8549 |
| 10.2542 | 0.11 | 600 | 10.3642 |
| 10.3959 | 0.14 | 800 | 10.4168 |
| 10.4303 | 0.18 | 1000 | 10.4429 |
| 10.4527 | 0.22 | 1200 | 10.4638 |
| 10.4744 | 0.25 | 1400 | 10.4837 |
| 10.4907 | 0.29 | 1600 | 10.4981 |
| 10.5032 | 0.32 | 1800 | 10.5069 |
| 10.5134 | 0.36 | 2000 | 10.5165 |
| 10.5208 | 0.4 | 2200 | 10.5264 |
| 10.5284 | 0.43 | 2400 | 10.5324 |
| 10.535 | 0.47 | 2600 | 10.5372 |
| 10.541 | 0.51 | 2800 | 10.5445 |
| 10.5472 | 0.54 | 3000 | 10.5498 |
| 10.5532 | 0.58 | 3200 | 10.5561 |
| 10.5588 | 0.61 | 3400 | 10.5614 |
| 10.5647 | 0.65 | 3600 | 10.5672 |
| 10.5698 | 0.69 | 3800 | 10.5727 |
| 10.5753 | 0.72 | 4000 | 10.5760 |
| 10.5809 | 0.76 | 4200 | 10.5834 |
| 10.5864 | 0.79 | 4400 | 10.5892 |
| 10.5919 | 0.83 | 4600 | 10.5946 |
| 10.5971 | 0.87 | 4800 | 10.5995 |
| 10.6027 | 0.9 | 5000 | 10.6047 |
| 10.6076 | 0.94 | 5200 | 10.6105 |
| 10.6126 | 0.97 | 5400 | 10.6136 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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