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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ tags:
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+ - base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ - lora
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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: tinyllama_ft_full_5k_sample
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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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+ # tinyllama_ft_full_5k_sample
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+
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8222
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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: 0.0001
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+ - train_batch_size: 4
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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: 64
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.9059 | 0.256 | 20 | 1.8654 |
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+ | 1.8532 | 0.512 | 40 | 1.8407 |
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+ | 1.8333 | 0.768 | 60 | 1.8315 |
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+ | 1.8178 | 1.0128 | 80 | 1.8279 |
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+ | 1.8366 | 1.2688 | 100 | 1.8257 |
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+ | 1.8249 | 1.5248 | 120 | 1.8241 |
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+ | 1.7824 | 1.7808 | 140 | 1.8230 |
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+ | 1.8051 | 2.0256 | 160 | 1.8222 |
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+ | 1.7722 | 2.2816 | 180 | 1.8225 |
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+ | 1.7967 | 2.5376 | 200 | 1.8223 |
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+ | 1.7583 | 2.7936 | 220 | 1.8222 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.17.1
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+ - Transformers 4.55.4
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+ - Pytorch 2.8.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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