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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-3
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-3
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: 5.8378
## 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: 2.4e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 10.1753 | 0.04 | 100 | 9.3900 |
| 9.0259 | 0.07 | 200 | 8.5694 |
| 8.0861 | 0.11 | 300 | 7.5814 |
| 7.2827 | 0.15 | 400 | 7.0210 |
| 6.9154 | 0.18 | 500 | 6.7973 |
| 6.738 | 0.22 | 600 | 6.6274 |
| 6.6074 | 0.26 | 700 | 6.5311 |
| 6.5101 | 0.29 | 800 | 6.4338 |
| 6.4433 | 0.33 | 900 | 6.3696 |
| 6.382 | 0.36 | 1000 | 6.3051 |
| 6.3157 | 0.4 | 1100 | 6.2578 |
| 6.2805 | 0.44 | 1200 | 6.2139 |
| 6.2317 | 0.47 | 1300 | 6.1715 |
| 6.2085 | 0.51 | 1400 | 6.1438 |
| 6.1702 | 0.55 | 1500 | 6.1099 |
| 6.1337 | 0.58 | 1600 | 6.0789 |
| 6.113 | 0.62 | 1700 | 6.0530 |
| 6.0663 | 0.66 | 1800 | 6.0150 |
| 6.0446 | 0.69 | 1900 | 5.9880 |
| 6.0267 | 0.73 | 2000 | 5.9568 |
| 5.9972 | 0.77 | 2100 | 5.9274 |
| 5.9599 | 0.8 | 2200 | 5.9109 |
| 5.9369 | 0.84 | 2300 | 5.8884 |
| 5.9266 | 0.88 | 2400 | 5.8689 |
| 5.9068 | 0.91 | 2500 | 5.8548 |
| 5.9091 | 0.95 | 2600 | 5.8462 |
| 5.879 | 0.99 | 2700 | 5.8378 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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