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---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: sparse_llama_7b_hf2_refined_web_50p_2024-05-11
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. -->
# sparse_llama_7b_hf2_refined_web_50p_2024-05-11
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2840
## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 4
- seed: 0
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 350
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.201 | 0.0 | 25 | 2.2172 |
| 2.2379 | 0.0 | 50 | 2.2154 |
| 2.1411 | 0.01 | 75 | 2.2137 |
| 2.1523 | 0.01 | 100 | 2.2125 |
| 2.5823 | 0.01 | 125 | 2.2103 |
| 2.2672 | 0.01 | 150 | 2.2063 |
| 2.3044 | 0.01 | 175 | 2.2036 |
| 2.2119 | 0.02 | 200 | 2.2012 |
| 2.1888 | 0.02 | 225 | 2.2004 |
| 2.1592 | 0.02 | 250 | 2.1981 |
| 2.2455 | 0.02 | 275 | 2.1972 |
| 2.0666 | 0.02 | 300 | 2.1972 |
| 2.322 | 0.03 | 325 | 2.1967 |
| 2.2689 | 0.03 | 350 | 2.1946 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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