Model Adult Rus P2
This model is a fine-tuned version of anjajar/adultgoldfishrusp1 on the None dataset.
Model source
- Kind
- Checkpoint
- File size
- 1.35 KB–242 MB
- Base model
- anjajar/adult_goldfish_rus_p1
- Version
- vRevision 8bb4d11
- Updated
- Oct 1, 2026
- Publisher
- @anjajar
- Downloads
- 3
- Tasks
- Text generation
- Source
- Hugging Face
Source description
model_adult_rus_p2
This model is a fine-tuned version of anjajar/adult_goldfish_rus_p1 on the None 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 43
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 6560
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.55.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
Sources
1 source
Sources
1 sourceVerified Oct 1
Model artifacts
64 artifacts
Model artifacts
64 artifactscheckpoint-10200/model.safetensors
safetensors · 242 MB · SHA-256 2ecfaf19e3cb…81a7 · Hugging Face
Downloadcheckpoint-10500/model.safetensors
safetensors · 242 MB · SHA-256 b2b5ee0d9249…f706 · Hugging Face
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safetensors · 242 MB · SHA-256 87e6b7895632…1284 · Hugging Face
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safetensors · 242 MB · SHA-256 112ff88106d3…acff · Hugging Face
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safetensors · 242 MB · SHA-256 3284ecaefeb9…1397 · Hugging Face
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safetensors · 242 MB · SHA-256 8dbc1837b439…fafa · Hugging Face
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safetensors · 242 MB · SHA-256 7911bd513399…14c7 · Hugging Face
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safetensors · 242 MB · SHA-256 e0024348850b…a18d · Hugging Face
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safetensors · 242 MB · SHA-256 0b0ce8cb8ae8…59d4 · Hugging Face
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safetensors · 242 MB · SHA-256 05014e070271…a8bd · Hugging Face
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safetensors · 242 MB · SHA-256 2bb1dc1ee8d5…ec97 · Hugging Face
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safetensors · 242 MB · SHA-256 6d647bb23644…7188 · Hugging Face
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safetensors · 242 MB · SHA-256 8e83a4610715…edbd · Hugging Face
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safetensors · 242 MB · SHA-256 3c0b4934196f…c304 · Hugging Face
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safetensors · 242 MB · SHA-256 29ff574ffe6f…c37d · Hugging Face
Downloadcheckpoint-16500/model.safetensors
safetensors · 242 MB · SHA-256 651acfad78ce…a552 · Hugging Face
Downloadcheckpoint-16800/model.safetensors
safetensors · 242 MB · SHA-256 f69820684671…1ffa · Hugging Face
Downloadcheckpoint-17100/model.safetensors
safetensors · 242 MB · SHA-256 0a6f9dd57f5a…9645 · Hugging Face
Downloadcheckpoint-17400/model.safetensors
safetensors · 242 MB · SHA-256 8aa94c314c57…97a4 · Hugging Face
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safetensors · 242 MB · SHA-256 43d827d8379d…8313 · Hugging Face
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safetensors · 242 MB · SHA-256 cabbd2acc992…78d2 · Hugging Face
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safetensors · 242 MB · SHA-256 dc9794c66777…a71e · Hugging Face
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safetensors · 242 MB · SHA-256 9e4a5c20ddf2…c5fa · Hugging Face
Downloadcheckpoint-18600/model.safetensors
safetensors · 242 MB · SHA-256 4a582a44a89d…e9ed · Hugging Face
DownloadSource excerpts
3 excerpts
Source excerpts
3 excerpts--- library_name: transformers base_model: anjajar/adult_goldfish_rus_p1 tags: - generated_from_trainer model-index: - name: model_adult_rus_p2 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. --> # model_adult_rus_p2 This model is a fine-tuned version of [anjajar/adult_goldfish_rus_p1](https://huggingface.co/anjajar/adult_goldfish_rus_p1) on the None 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: 0.0001 - train_batch_size: 2 - eval_batch_size: 8 - seed: 43 - gradient_accumulation_steps: 4 - total_train_batch_size: 8 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 6560 - num_epochs: 8 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.55.1 - Pytorch 2.8.0+cu128 - Datasets 4.0.0 - Tokenizers 0.21.4
Source context: 3 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo anjajar/model_adult_rus_p2
Source context: 4 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo anjajar/model_adult_rus_p2
