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.
Modellquelle
- Art
- Text model
- Dateigröße
- Noch nicht aufgezeichnet
- Basismodell
- EleutherAI/pythia-1.4b
- Version
- vRevision c4b678b
- Aktualisiert
- 4. Okt. 2026
- Verleger
- @Gueule-d-ange
- Downloads
- 6
- Parameter
- 4B
- Aufgaben
- Textgenerierung
- Quelle
- Hugging Face
Quellenbeschreibung
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
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 4. Okt.
Quellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- 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
