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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: falcon-mini-shakespeare |
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results: [] |
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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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# falcon-mini-shakespeare |
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This model was trained from scratch on "tinyshakespeare" text file. |
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## Model description |
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The configuration and code is adapted from tiiuae/falcon-7b, with configuration parameters changed to make it a very tiny model. |
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- **License:** Apache 2.0. |
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## Intended uses & limitations |
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Intended just to aid debugging efforts of a GGML port of Falcon. |
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## Training and evaluation data |
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https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt |
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## Training procedure |
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Just used the single tinyshakespeare text file as both the training and validation set (split up into paragraphs). See: |
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https://colab.research.google.com/drive/1utyxwRbOHCxUCqkIeei2JDAlKvAleRaF?usp=sharing |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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_steps: 10 |
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- num_epochs: 10 |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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