Training in progress epoch 0
Browse files- README.md +7 -9
- config.json +1 -1
- special_tokens_map.json +1 -0
- tf_model.h5 +1 -1
- tokenizer.json +6 -1
README.md
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@@ -3,20 +3,20 @@ license: mit
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tags:
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- generated_from_keras_callback
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model-index:
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- name: competitorDescriptions-ds-mini
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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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# competitorDescriptions-ds-mini
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 9.
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- Validation Loss: 8.
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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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'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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| 9.
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| 9.4638 | 9.2825 | 1 |
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| 9.1714 | 8.9614 | 2 |
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### Framework versions
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tags:
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- generated_from_keras_callback
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model-index:
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- name: d2j666/competitorDescriptions-ds-mini
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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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# d2j666/competitorDescriptions-ds-mini
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 9.3039
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- Validation Loss: 8.8426
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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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -946, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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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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| 9.3039 | 8.8426 | 0 |
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### Framework versions
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config.json
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx":
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 80,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 384557136
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a29e056aedc86d03399109399a4838b5024f85035f7c4cc1e1c94975940faa7
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size 384557136
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"padding": null,
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"added_tokens": [
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{
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{
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 80,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": null,
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"added_tokens": [
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{
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