Training in progress epoch 0

README.md

@@ -3,18 +3,22 @@ library_name: transformers
 license: mit
 base_model: gpt2
 tags:
-- generated_from_trainer
+- generated_from_keras_callback
 model-index:
-- name: codeparrot-ds
+- name: Surbhipatil/codeparrot-ds
   results: []
 ---
 
-<!-- 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. -->
+<!-- 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. -->
 
-# codeparrot-ds
+# Surbhipatil/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: 8.5497
+- Validation Loss: 6.7307
+- Epoch: 0
 
 ## Model description
 
@@ -33,25 +37,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
-- train_batch_size: 32
-- eval_batch_size: 32
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 256
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 1000
-- num_epochs: 1
-- mixed_precision_training: Native AMP
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -562, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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
 
 ### Training results
 
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 8.5497     | 6.7307          | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.48.3
-- Pytorch 2.5.1+cu124
+- TensorFlow 2.18.0
 - Datasets 3.3.2
 - Tokenizers 0.21.0

config.json

@@ -32,7 +32,6 @@
       "max_length": 50
     }
   },
-  "torch_dtype": "float32",
   "transformers_version": "4.48.3",
   "use_cache": true,
   "vocab_size": 50000

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ed2e7fc1f75a66149be4271ba1f2d9f0f5c7cc12c3d537af22a8ca3415fa483
+size 497145936