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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: LlamaCorn-sft-adapter
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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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+ # LlamaCorn-sft-adapter
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+
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9638
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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: 7e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 8
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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_ratio: 0.1
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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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+ | 1.038 | 1.0 | 6606 | 1.0506 |
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+ | 0.876 | 2.0 | 13212 | 0.9648 |
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+ | 0.7713 | 3.0 | 19818 | 0.9638 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.0
all_results.json ADDED
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+ {
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+ "epoch": 3.0,
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+ "eval_loss": 0.9637993574142456,
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+ "eval_runtime": 235.6225,
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+ "eval_samples": 40963,
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+ "eval_samples_per_second": 47.224,
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+ "eval_steps_per_second": 5.904,
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+ "train_loss": 0.9284211427668099,
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+ "train_runtime": 113797.7954,
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+ "train_samples": 1686013,
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+ "train_samples_per_second": 11.145,
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+ "train_steps_per_second": 0.174
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 3.0,
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+ "eval_loss": 0.9637993574142456,
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+ "eval_runtime": 235.6225,
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+ "eval_samples": 40963,
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+ "eval_samples_per_second": 47.224,
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+ "eval_steps_per_second": 5.904
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+ }
generation_config.json ADDED
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+ {
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "max_length": 2048,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.36.2"
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+ }
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train_results.json ADDED
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+ {
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+ "epoch": 3.0,
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+ "train_loss": 0.9284211427668099,
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+ "train_runtime": 113797.7954,
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+ "train_samples": 1686013,
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+ "train_samples_per_second": 11.145,
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+ "train_steps_per_second": 0.174
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+ }
trainer_state.json ADDED
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