Commit
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Training in progress epoch 0
Browse files- README.md +6 -35
- checkpoint/extra_data.pickle +1 -1
- checkpoint/weights.h5 +1 -1
- config.json +1 -1
- logs/train/events.out.tfevents.1674661877.ip-10-39-226-229.afrd.expertcity.com.6893.0.v2 +2 -2
- logs/train/events.out.tfevents.1674736212.ip-10-39-226-229.afrd.expertcity.com.7323.0.v2 +3 -0
- logs/validation/events.out.tfevents.1674663631.ip-10-39-226-229.afrd.expertcity.com.6893.1.v2 +2 -2
- logs/validation/events.out.tfevents.1674737933.ip-10-39-226-229.afrd.expertcity.com.7323.1.v2 +3 -0
- tf_model.h5 +1 -1
- tokenizer_config.json +1 -1
README.md
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# Ashraf-kasem/custom_gpt2_frames_text_continue
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This model is a fine-tuned version of [Ashraf-kasem/
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It achieves the following results on the evaluation set:
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- Train Loss: 1.
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- Validation Loss: 2.
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- Epoch:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'LinearWarmup', 'config': {'after_warmup_lr_sched': {'initial_learning_rate': 5e-05, 'decay_steps':
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 1.
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| 1.5117 | 2.1357 | 1 |
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| 1.6065 | 2.1713 | 2 |
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| 1.6491 | 2.1594 | 3 |
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| 1.6151 | 2.1483 | 4 |
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| 1.5789 | 2.1319 | 5 |
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| 1.5417 | 2.1198 | 6 |
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| 1.5061 | 2.1073 | 7 |
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| 1.4719 | 2.1122 | 8 |
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| 1.4392 | 2.1024 | 9 |
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| 1.4078 | 2.0968 | 10 |
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| 1.3780 | 2.0914 | 11 |
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| 1.3493 | 2.0822 | 12 |
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| 1.3218 | 2.0823 | 13 |
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| 1.2953 | 2.0823 | 14 |
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| 1.2703 | 2.0777 | 15 |
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| 1.2454 | 2.0783 | 16 |
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| 1.2220 | 2.0789 | 17 |
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| 1.1994 | 2.0747 | 18 |
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| 1.1775 | 2.0737 | 19 |
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| 1.1565 | 2.0732 | 20 |
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| 1.1367 | 2.0730 | 21 |
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| 1.1170 | 2.0765 | 22 |
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| 1.0987 | 2.0750 | 23 |
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| 1.0813 | 2.0774 | 24 |
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| 1.0646 | 2.0732 | 25 |
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| 1.0483 | 2.0753 | 26 |
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| 1.0339 | 2.0769 | 27 |
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| 1.0207 | 2.0754 | 28 |
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| 1.0092 | 2.0758 | 29 |
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### Framework versions
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# Ashraf-kasem/custom_gpt2_frames_text_continue
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This model is a fine-tuned version of [Ashraf-kasem/custom_gpt2_frames_text_continue](https://huggingface.co/Ashraf-kasem/custom_gpt2_frames_text_continue) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.0060
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- Validation Loss: 2.0768
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'LinearWarmup', 'config': {'after_warmup_lr_sched': {'initial_learning_rate': 5e-05, 'decay_steps': 628900, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'warmup_steps': 125780, 'warmup_learning_rate': 0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 1.0060 | 2.0768 | 0 |
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### Framework versions
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checkpoint/extra_data.pickle
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checkpoint/weights.h5
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config.json
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{
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"_name_or_path": "Ashraf-kasem/
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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{
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"_name_or_path": "Ashraf-kasem/custom_gpt2_frames_text_continue",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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logs/train/events.out.tfevents.1674661877.ip-10-39-226-229.afrd.expertcity.com.6893.0.v2
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logs/train/events.out.tfevents.1674736212.ip-10-39-226-229.afrd.expertcity.com.7323.0.v2
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logs/validation/events.out.tfevents.1674663631.ip-10-39-226-229.afrd.expertcity.com.6893.1.v2
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logs/validation/events.out.tfevents.1674737933.ip-10-39-226-229.afrd.expertcity.com.7323.1.v2
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tf_model.h5
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tokenizer_config.json
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"bos_token": "<EOS>",
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"eos_token": "<EOS>",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "Ashraf-kasem/
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"special_tokens_map_file": "frames_text_cleaned_dataset_tokenizer/special_tokens_map.json",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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"bos_token": "<EOS>",
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"eos_token": "<EOS>",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "Ashraf-kasem/custom_gpt2_frames_text_continue",
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"special_tokens_map_file": "frames_text_cleaned_dataset_tokenizer/special_tokens_map.json",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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