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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-2
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-2
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: 10.6538
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.1311 | 0.04 | 100 | 7.5382 |
| 6.9064 | 0.07 | 200 | 6.6416 |
| 6.3625 | 0.11 | 300 | 6.1490 |
| 5.8774 | 0.15 | 400 | 5.6766 |
| 5.6517 | 0.18 | 500 | 6.1719 |
| 8.8804 | 0.22 | 600 | 10.4020 |
| 10.5191 | 0.26 | 700 | 10.5768 |
| 10.5934 | 0.29 | 800 | 10.6068 |
| 10.613 | 0.33 | 900 | 10.6190 |
| 10.622 | 0.37 | 1000 | 10.6256 |
| 10.6276 | 0.41 | 1100 | 10.6300 |
| 10.6315 | 0.44 | 1200 | 10.6332 |
| 10.6343 | 0.48 | 1300 | 10.6361 |
| 10.6368 | 0.52 | 1400 | 10.6383 |
| 10.6389 | 0.55 | 1500 | 10.6402 |
| 10.6408 | 0.59 | 1600 | 10.6419 |
| 10.6424 | 0.63 | 1700 | 10.6434 |
| 10.6439 | 0.66 | 1800 | 10.6447 |
| 10.6453 | 0.7 | 1900 | 10.6460 |
| 10.6465 | 0.74 | 2000 | 10.6473 |
| 10.6476 | 0.77 | 2100 | 10.6483 |
| 10.6487 | 0.81 | 2200 | 10.6494 |
| 10.6497 | 0.85 | 2300 | 10.6503 |
| 10.6505 | 0.88 | 2400 | 10.6511 |
| 10.6514 | 0.92 | 2500 | 10.6521 |
| 10.6521 | 0.96 | 2600 | 10.6527 |
| 10.6532 | 0.99 | 2700 | 10.6538 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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