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Model: dty1aaa/codellama-7b-instruct-hf-sft
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---
library_name: transformers
license: other
base_model: codellama/CodeLlama-7b-Instruct-hf
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: final_sft_CodeLlama-7b-Instruct-hf
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. -->
# final_sft_CodeLlama-7b-Instruct-hf
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the efficoder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3331
## Model description
train on EFFIINSTRUCT_python
## Intended uses & limitations
generate effective code
## Training and evaluation data
train on EFFIINSTRUCT_python
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2475 | 0.3401 | 50 | 0.2433 |
| 0.2425 | 0.6803 | 100 | 0.2314 |
| 0.2147 | 1.0204 | 150 | 0.2318 |
| 0.1702 | 1.3605 | 200 | 0.2378 |
| 0.1758 | 1.7007 | 250 | 0.2396 |
| 0.1438 | 2.0408 | 300 | 0.2643 |
| 0.0989 | 2.3810 | 350 | 0.2823 |
| 0.0991 | 2.7211 | 400 | 0.2799 |
| 0.065 | 3.0612 | 450 | 0.3123 |
| 0.0601 | 3.4014 | 500 | 0.3348 |
| 0.0645 | 3.7415 | 550 | 0.3324 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 4.8.4
- Tokenizers 0.19.1

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"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 11008,
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"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 32,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 1000000,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.44.2",
"use_cache": false,
"vocab_size": 32016
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}

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tokenizer_config.json Normal file
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{
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},
"1": {
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},
"2": {
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"content": "▁<EOT>",
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"▁<EOT>"
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"eot_token": "▁<EOT>",
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