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stojchet_-_jd9-jsft8-awq – AI Model by RichardErkhov | AlphaNeural AI
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stojchet_-_jd9-jsft8-awq
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jd9-jsft8 - AWQ
Model creator:
https://huggingface.co/stojchet/
Original model:
https://huggingface.co/stojchet/jd9-jsft8/
Original model description:
base_model: stojchet/jd9 tags:
trl
sft
generated_from_trainer datasets:
generator model-index:
name: jd9-jsft8 results: []
Visualize in Weights & Biases
jd9-jsft8
This model is a fine-tuned version of
stojchet/jd9
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.1946
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.0685
2.56
100
1.1946
Framework versions
Transformers 4.43.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1
