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README.md ADDED
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+ ---
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+ license: llama3
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+ base_model: meta-llama/Meta-Llama-3-8B
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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: sft-llama3-8b-itt
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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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+ # sft-llama3-8b-itt
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0620
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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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: 2
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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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+ | 1.0719 | 0.9995 | 935 | 1.0777 |
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+ | 0.883 | 1.9989 | 1870 | 1.0620 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0
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+ - Pytorch 2.1.2
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+ - Datasets 2.14.6
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+ - Tokenizers 0.19.1
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+ {
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+ "epoch": 1.9989310529128808,
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+ "total_flos": 783053739786240.0,
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+ "train_loss": 1.0084666737260666,
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+ "train_runtime": 48199.6175,
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+ "train_samples": 207864,
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+ "train_samples_per_second": 4.968,
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+ "train_steps_per_second": 0.039
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+ }
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+ "bos_token_id": 128000,
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+ "do_sample": true,
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+ "max_length": 4096,
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+ "temperature": 0.6,
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+ "top_p": 0.9,
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+ "transformers_version": "4.40.0"
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+ }
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