Downloads · 30 days
0
llama-2-7b-nsmc
chaem/llama-2-7b-nsmc
llama-2-7b-nsmc is a machine learning model from chaem. 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 Dec 7, 2023
Repo size
161 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors80 MB · 97%
At a glance
- Access
- Public
- Created
- Dec 7, 2023
- Updated
- Dec 7, 2023
- SHA
- 00b0637c
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. -->
llama-2-7b-nsmc
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
TrainOutput(global_step=2000, training_loss=0.5080581178665161, metrics={'train_runtime': 7559.6157, 'train_samples_per_second': 0.529,
'train_steps_per_second': 0.265, 'total_flos': 8.1436656795648e+16, 'train_loss': 0.5080581178665161, 'epoch': 2.0})
정확도
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Created
- Dec 7, 2023
- Updated
- Dec 7, 2023