End of training

README.md

@@ -2,22 +2,18 @@
 license: mit
 base_model: gpt2
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
 model-index:
-- name: gauravvaid/codeparrot-ds
+- name: codeparrot-ds
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
 
-# gauravvaid/codeparrot-ds
+# codeparrot-ds
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Train Loss: 4.3930
-- Validation Loss: 3.7779
-- Epoch: 0
 
 ## Model description
 
@@ -36,19 +32,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- 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': 9584, '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}
-- training_precision: mixed_float16
+- learning_rate: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 1
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 4.3930     | 3.7779          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
-- TensorFlow 2.12.0
-- Datasets 2.14.4
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
 - Tokenizers 0.13.3

config.json

@@ -32,7 +32,8 @@
       "max_length": 50
     }
   },
-  "transformers_version": "4.33.0",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
   "use_cache": true,
-  "vocab_size": 50000
+  "vocab_size": 52000
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 0,
-  "transformers_version": "4.33.0"
+  "transformers_version": "4.33.1"
 }

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