Total runs:
899
Run Growth:
-922
Growth Rate:
-102.56%
Sponsored by
Vmake Labs Video Enhancer
winglian / llama-neft-exp2
Model's Last Updated: October 25 2023
text-generation
Introduction of llama-neft-exp2
Model Details of llama-neft-exp2
out
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2048
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: 3.8e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3782 | 0.01 | 1 | 1.4211 |
| 1.1948 | 0.2 | 14 | 1.2273 |
| 1.0953 | 0.4 | 28 | 1.2137 |
| 1.1464 | 0.6 | 42 | 1.2099 |
| 1.1481 | 0.81 | 56 | 1.2080 |
| 1.0277 | 1.01 | 70 | 1.2022 |
| 0.9344 | 1.21 | 84 | 1.2049 |
| 1.1294 | 1.41 | 98 | 1.2033 |
| 1.0933 | 1.61 | 112 | 1.2002 |
| 0.987 | 1.81 | 126 | 1.1996 |
| 0.9491 | 2.01 | 140 | 1.1972 |
| 0.9673 | 2.22 | 154 | 1.2058 |
| 0.99 | 2.42 | 168 | 1.2048 |
| 0.9241 | 2.62 | 182 | 1.2049 |
| 0.9204 | 2.82 | 196 | 1.2048 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.14.0
Runs of winglian llama-neft-exp2 on huggingface.co
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More Information About llama-neft-exp2 huggingface.co Model
Url of llama-neft-exp2
llama-neft-exp2 huggingface.co Url
Provider of llama-neft-exp2 huggingface.co
Other API from winglian
Updated:September 19 2023
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