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Aup Fullft Kto W1 Mmd W1lam8.4e 4 Mmdrho8.4e 4 Kr0.1 Seed2

This model is a fine-tuned version of EleutherAI/pythia-1.4b on the uflabelpoolkto dataset.

KindText modelBase modelEleutherAI/pythia-1.4bVersionRevision c4b678bPublisher@Gueule-d-angeCgrade

Model source

Kind
Text model
File size
Not recorded yet
Base model
EleutherAI/pythia-1.4b
Version
vRevision c4b678b
Updated
Oct 4, 2026
Downloads
6
Parameters
4B
Tasks
Text generation
Source
Hugging Face

Source description

fullft_kto_w1_mmd_w1lam8.4e-4_mmdrho8.4e-4_kr0.1_seed2

This model is a fine-tuned version of EleutherAI/pythia-1.4b on the uf_label_pool_kto dataset.

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: 1e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 2
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.12.1+cu130
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Sources

1 source

Source excerpts

3 excerpts

--- library_name: transformers license: other base_model: EleutherAI/pythia-1.4b tags: - llama-factory - full - generated_from_trainer model-index: - name: fullft_kto_w1_mmd_w1lam8.4e-4_mmdrho8.4e-4_kr0.1_seed2 results: [] --- <!-- 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. --> # fullft_kto_w1_mmd_w1lam8.4e-4_mmdrho8.4e-4_kr0.1_seed2 This model is a fine-tuned version of [EleutherAI/pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b) on the uf_label_pool_kto dataset. ## 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: 1e-06 - train_batch_size: 8 - eval_batch_size: 8 - seed: 2 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 100 - num_epochs: 3.0 ### Training results ### Framework versions - Transformers 4.57.1 - Pytorch 2.12.1+cu130 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 6 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed2

Source context: 355 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo Gueule-d-ange/aup-fullft-kto_w1_mmd-w1lam8.4e-4_mmdrho8.4e-4_kr0.1-seed2