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README.md CHANGED
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  ---
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- license: mit
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: other
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+ base_model: calm2-7b
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+ tags:
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+ - llama-factory
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+ - freeze
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+ - generated_from_trainer
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+ model-index:
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+ - name: noberai-main-8
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+ results: []
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  ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # noberai-main-8
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+
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+ This model is a fine-tuned version of [calm2-7b](https://huggingface.co/calm2-7b) on the super-jeneri-beta dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 4.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "epoch": 4.0,
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+ "train_runtime": 36129.1454,
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+ "train_samples_per_second": 4.385,
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+ "train_steps_per_second": 0.034
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+ }
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+ {
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+ "_name_or_path": "calm2-7b",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "pad_token_id": 1,
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+ "unsloth_version": "2024.3",
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+ "use_cache": false,
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+ "vocab_size": 65024
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+ }
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