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---
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-8
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-8
This model is a fine-tuned version of [](https://huggingface.co./) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8102
## 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: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.7094 | 0.05 | 2000 | 3.7099 |
| 3.5644 | 0.1 | 4000 | 3.4754 |
| 3.4187 | 0.15 | 6000 | 3.3482 |
| 3.3026 | 0.2 | 8000 | 3.2653 |
| 3.2405 | 0.25 | 10000 | 3.2143 |
| 3.1966 | 0.29 | 12000 | 3.1806 |
| 3.1666 | 0.34 | 14000 | 3.1533 |
| 3.1408 | 0.39 | 16000 | 3.1344 |
| 3.12 | 0.44 | 18000 | 3.1123 |
| 3.1005 | 0.49 | 20000 | 3.0934 |
| 3.0802 | 0.54 | 22000 | 3.0769 |
| 3.0629 | 0.59 | 24000 | 3.0545 |
| 3.0427 | 0.64 | 26000 | 3.0319 |
| 3.0206 | 0.69 | 28000 | 3.0111 |
| 3.0008 | 0.74 | 30000 | 2.9897 |
| 2.9735 | 0.79 | 32000 | 2.9632 |
| 2.9466 | 0.83 | 34000 | 2.9335 |
| 2.9165 | 0.88 | 36000 | 2.9039 |
| 2.8816 | 0.93 | 38000 | 2.8623 |
| 2.8345 | 0.98 | 40000 | 2.8102 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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