akash0 commited on
Commit
fddce33
1 Parent(s): 7bcd86a

Training in progress epoch 0

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Files changed (4) hide show
  1. README.md +4 -4
  2. config.json +2 -0
  3. generation_config.json +2 -0
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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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: 4.9297
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- - Validation Loss: 4.6493
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  - Epoch: 0
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  ## Model description
@@ -36,14 +36,14 @@ More information needed
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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': 525, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 100, '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: float32
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 4.9297 | 4.6493 | 0 |
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  ### Framework versions
 
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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: 4.1922
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+ - Validation Loss: 3.7943
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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': 6150, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 100, '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: float32
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 4.1922 | 3.7943 | 0 |
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  ### Framework versions
config.json CHANGED
@@ -6,10 +6,12 @@
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  ],
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  "attn_pdrop": 0.1,
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  "bos_token_id": 0,
 
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  "embd_pdrop": 0.1,
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  "eos_token_id": 0,
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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": 128,
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  "n_embd": 768,
 
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  ],
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  "attn_pdrop": 0.1,
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  "bos_token_id": 0,
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+ "do_sample": true,
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  "embd_pdrop": 0.1,
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  "eos_token_id": 0,
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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+ "max_length": 50,
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  "model_type": "gpt2",
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  "n_ctx": 128,
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  "n_embd": 768,
generation_config.json CHANGED
@@ -1,6 +1,8 @@
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  {
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  "_from_model_config": true,
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  "bos_token_id": 0,
 
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  "eos_token_id": 0,
 
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  "transformers_version": "4.31.0"
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  }
 
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  {
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  "_from_model_config": true,
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  "bos_token_id": 0,
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+ "do_sample": true,
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  "eos_token_id": 0,
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+ "max_length": 50,
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  "transformers_version": "4.31.0"
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  }
tf_model.h5 CHANGED
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