Downloads · 30 days
13
19% of all-time downloads
llama-2-330m-Rhetorical-Agents
ccore/llama-2-330m-Rhetorical-Agents
llama-2-330m-Rhetorical-Agents is a text generation model from ccore. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
70
Public
Repo size
2.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Sep 8, 2023
- Updated
- Sep 16, 2023
- SHA
- c9f2cd84
Try a prompt
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. -->
test core4
#INSTRUCTION
#RESPONSE
#PROMPT
This model is a fine-tuned version of core4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7270
- Accuracy: 0.8177
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Sep 8, 2023
- Updated
- Sep 16, 2023