This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the data/ui_coding dataset. It achieves the following results on the evaluation set:

Loss: 0.0431
Rewards/chosen: -3.0407
Rewards/rejected: -9.3996
Rewards/accuracies: 0.9375
Rewards/margins: 6.3590
Logps/rejected: -1448.7983
Logps/chosen: -747.9731
Logits/rejected: -2.8938
Logits/chosen: -2.7966

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-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Framework versions

Transformers 4.44.1
Pytorch 2.1.2+cu121
Datasets 2.21.0
Tokenizers 0.19.1

RichardErkhov/NicholasCorrado_-_tinyllama-1.1b-chat-v1.0-ui-coding-dpo-2-awq

Original model description:

tinyllama-1.1b-chat-v1.0-ui-coding-dpo-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
NicholasCorrado_-_tinyllama-1.1b-chat-v1.0-ui-coding-dpo-2-awq