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tinyllamatest_qlora

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amnae/tinyllamatest

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Files changed (5) hide show
  1. README.md +3 -3
  2. adapter_model.safetensors +1 -1
  3. runs/Jul29_14-49-04_canada.cs.ucl.ac.uk/events.out.tfevents.1722260945.canada.cs.ucl.ac.uk.37551.0 +3 -0
  4. runs/Jul29_14-49-34_canada.cs.ucl.ac.uk/events.out.tfevents.1722260975.canada.cs.ucl.ac.uk.37729.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/maai/huggingface/runs/jotnn6tu)
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  # tinyllamatest_qlora
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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 the None dataset.
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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: 50
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 0.5
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  ### Training results
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/maai/huggingface/runs/tkagpa7z)
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  # tinyllamatest_qlora
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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 the None dataset.
 
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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: 60
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 0.25
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  ### Training results
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