Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
oreva_-_sft_op-awq – AI Model by RichardErkhov | AlphaNeural AI
You can deploy this model and start earning money today!
RichardErkhov
/
oreva_-_sft_op-awq
like
0
safetensors
opt
4-bit
awq
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Quantization made by Richard Erkhov.
Github
Discord
Request more models
sft_op - AWQ
Model creator:
https://huggingface.co/oreva/
Original model:
https://huggingface.co/oreva/sft_op/
Original model description:
license: other base_model: facebook/opt-350m tags:
trl
sft
generated_from_trainer model-index:
name: sft_op results: []
Visualize in Weights & Biases
sft_op
This model is a fine-tuned version of
facebook/opt-350m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.0723
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: 1.41e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
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 4.42.4
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1