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license: llama2
base_model: codellama/CodeLlama-7b-Instruct-hf
tags:
- generated_from_trainer
datasets:
- tmnam20/SpiderInstruct
model-index:
- name: codellama_instruct_spider_e10
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. -->
# codellama_instruct_spider_e10
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the tmnam20/SpiderInstruct dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2393
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.822 | 0.37 | 100 | 0.5313 |
| 0.3014 | 0.74 | 200 | 0.2763 |
| 0.2091 | 1.11 | 300 | 0.2469 |
| 0.1697 | 1.48 | 400 | 0.2401 |
| 0.1495 | 1.85 | 500 | 0.2395 |
| 0.1256 | 2.22 | 600 | 0.2525 |
| 0.1097 | 2.59 | 700 | 0.2641 |
| 0.1107 | 2.96 | 800 | 0.2617 |
| 0.0951 | 3.33 | 900 | 0.2683 |
| 0.0882 | 3.7 | 1000 | 0.2892 |
| 0.0818 | 4.06 | 1100 | 0.3134 |
| 0.075 | 4.43 | 1200 | 0.2978 |
| 0.0745 | 4.8 | 1300 | 0.3095 |
| 0.0642 | 5.17 | 1400 | 0.3261 |
| 0.0622 | 5.54 | 1500 | 0.3201 |
| 0.0573 | 5.91 | 1600 | 0.3343 |
| 0.0552 | 6.28 | 1700 | 0.3396 |
| 0.0523 | 6.65 | 1800 | 0.3602 |
| 0.0538 | 7.02 | 1900 | 0.3464 |
| 0.0467 | 7.39 | 2000 | 0.3622 |
| 0.0465 | 7.76 | 2100 | 0.3697 |
| 0.044 | 8.13 | 2200 | 0.3890 |
| 0.043 | 8.5 | 2300 | 0.3785 |
| 0.0375 | 8.87 | 2400 | 0.3860 |
| 0.0384 | 9.24 | 2500 | 0.3952 |
| 0.0363 | 9.61 | 2600 | 0.3940 |
| 0.0352 | 9.98 | 2700 | 0.3985 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|