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tmp-dpo – AI Model by lewtun | AlphaNeural AI

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lewtun/
tmp-dpo

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text-generation

generated_from_trainer

trl-internal-testing/tiny-random-LlamaForCausalLM

autotrain_compatible

text-generation-inference

endpoints_compatible

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tmp-dpo

This model is a fine-tuned version of trl-internal-testing/tiny-random-LlamaForCausalLM on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6931
Rewards/chosen: -0.0001
Rewards/rejected: -0.0001
Rewards/accuracies: 0.625
Rewards/margins: 0.0001
Logps/rejected: -2296.9749
Logps/chosen: -2241.1948
Logits/rejected: -0.0001
Logits/chosen: -0.0001

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 1

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1