Downloads · 30 days
0
finetuned_Bert
nova-sqoin/finetuned_Bert
finetuned_Bert is a machine learning model from nova-sqoin. 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 20, 2023
Repo size
17.3 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors16.8 MB · 88%
At a glance
- Access
- Public
- Created
- Nov 20, 2023
- Updated
- Nov 20, 2023
- SHA
- 28e2e3eb
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. -->
finetuned_Bert
This model is a fine-tuned version of NousResearch/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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
- Created
- Nov 20, 2023
- Updated
- Nov 20, 2023