Downloads · 30 days
0
llama2-trained-7k
VishalCh/llama2-trained-7k
llama2-trained-7k is a machine learning model from VishalCh. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Nov 9, 2023
Repo size
67.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors33.6 MB · 95%
At a glance
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023
- SHA
- b4040d46
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
llama2-trained-7k
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0921
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: 2.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3216 | 0.06 | 500 | 0.1036 |
| 0.0771 | 0.13 | 1000 | 0.0921 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023