Commit
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a776c48
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Parent(s):
558e792
Model save
Browse files- README.md +10 -14
- all_results.json +6 -11
- model.safetensors +1 -1
- runs/May30_13-37-43_poseidon/events.out.tfevents.1717076296.poseidon.2020252.0 +2 -2
- train_results.json +6 -6
- trainer_state.json +1876 -322
README.md
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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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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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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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-
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model-index:
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- name: tinyllama-1.1b-mt-sft-full
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results: []
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# tinyllama-1.1b-mt-sft-full
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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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:
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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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### Training results
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| Training Loss | Epoch
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### Framework versions
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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: tinyllama-1.1b-mt-sft-full
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results: []
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# tinyllama-1.1b-mt-sft-full
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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: 1.6920
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## Model description
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5838 | 1.0 | 739 | 1.6892 |
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| 1.5051 | 2.0 | 1478 | 1.6920 |
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### Framework versions
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