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--- |
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base_model: deanna-emery/ASL_t5_movinet_sentence |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: ASL_t5_movinet_sentence |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# ASL_t5_movinet_sentence |
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This model is a fine-tuned version of [deanna-emery/ASL_t5_movinet_sentence](https://huggingface.co/deanna-emery/ASL_t5_movinet_sentence) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1776 |
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- Train Top 1: 0.9586 |
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- Train Top 5: 0.9815 |
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- Validation Loss: 0.3415 |
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- Validation Top 1: 0.9408 |
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- Validation Top 5: 0.9633 |
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- Train Bleu: 1.984 |
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- Train Gen Len: 12.7656 |
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- Epoch: 3 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 3330, 'alpha': 0.0, 'name': None, 'warmup_target': 0.0005, 'warmup_steps': 600}, 'registered_name': None}, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Top 1 | Train Top 5 | Validation Loss | Validation Top 1 | Validation Top 5 | Train Bleu | Train Gen Len | Epoch | |
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|:----------:|:-----------:|:-----------:|:---------------:|:----------------:|:----------------:|:----------:|:-------------:|:-----:| |
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| 0.2351 | 0.9496 | 0.9736 | 0.3181 | 0.9413 | 0.9640 | 1.1898 | 13.0052 | 0 | |
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| 0.2173 | 0.9522 | 0.9760 | 0.3255 | 0.9409 | 0.9638 | 1.525 | 13.0182 | 1 | |
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| 0.1965 | 0.9554 | 0.9789 | 0.3372 | 0.9405 | 0.9630 | 1.4326 | 13.8776 | 2 | |
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| 0.1776 | 0.9586 | 0.9815 | 0.3415 | 0.9408 | 0.9633 | 1.984 | 12.7656 | 3 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- TensorFlow 2.13.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.14.1 |
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