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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-7
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-7
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: 10.6539
## 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: 0.00024
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.0536 | 0.04 | 100 | 7.4802 |
| 6.8962 | 0.07 | 200 | 6.5875 |
| 6.3685 | 0.11 | 300 | 6.1149 |
| 5.8698 | 0.15 | 400 | 5.6208 |
| 5.6334 | 0.18 | 500 | 6.1096 |
| 8.8705 | 0.22 | 600 | 10.3915 |
| 10.5174 | 0.26 | 700 | 10.5752 |
| 10.5929 | 0.29 | 800 | 10.6066 |
| 10.6128 | 0.33 | 900 | 10.6187 |
| 10.6218 | 0.37 | 1000 | 10.6255 |
| 10.6274 | 0.4 | 1100 | 10.6302 |
| 10.6312 | 0.44 | 1200 | 10.6335 |
| 10.6343 | 0.48 | 1300 | 10.6363 |
| 10.6369 | 0.51 | 1400 | 10.6384 |
| 10.6391 | 0.55 | 1500 | 10.6404 |
| 10.6408 | 0.59 | 1600 | 10.6422 |
| 10.6426 | 0.62 | 1700 | 10.6438 |
| 10.6441 | 0.66 | 1800 | 10.6451 |
| 10.6454 | 0.7 | 1900 | 10.6464 |
| 10.6467 | 0.73 | 2000 | 10.6477 |
| 10.6479 | 0.77 | 2100 | 10.6486 |
| 10.649 | 0.81 | 2200 | 10.6496 |
| 10.6499 | 0.84 | 2300 | 10.6506 |
| 10.6508 | 0.88 | 2400 | 10.6515 |
| 10.6516 | 0.92 | 2500 | 10.6522 |
| 10.6524 | 0.95 | 2600 | 10.6531 |
| 10.6534 | 0.99 | 2700 | 10.6539 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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