Training in progress epoch 0

README.md

@@ -3,20 +3,20 @@ license: mit
 tags:
 - generated_from_keras_callback
 model-index:
-- name: model2
+- name: pradeep4321/model2
   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. -->
 
-# model2
+# pradeep4321/model2
 
 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: 0.7652
-- Validation Loss: 5.5941
-- Epoch: 99
+- Train Loss: 6.6715
+- Validation Loss: 6.6783
+- Epoch: 0
 
 ## Model description
 
@@ -35,118 +35,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 200, '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}
+- 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': -999, '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
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 3.4440     | 6.3917          | 0     |
-| 3.4011     | 6.3744          | 1     |
-| 3.3080     | 6.3398          | 2     |
-| 3.1988     | 6.3392          | 3     |
-| 3.1543     | 6.2950          | 4     |
-| 3.1246     | 6.2795          | 5     |
-| 3.0182     | 6.2569          | 6     |
-| 2.9706     | 6.2238          | 7     |
-| 2.9353     | 6.2055          | 8     |
-| 2.8828     | 6.1995          | 9     |
-| 2.8187     | 6.1703          | 10    |
-| 2.8116     | 6.1570          | 11    |
-| 2.7118     | 6.1329          | 12    |
-| 2.6847     | 6.1232          | 13    |
-| 2.5602     | 6.1206          | 14    |
-| 2.5477     | 6.0860          | 15    |
-| 2.5032     | 6.0694          | 16    |
-| 2.4366     | 6.0671          | 17    |
-| 2.4570     | 6.0441          | 18    |
-| 2.3515     | 6.0281          | 19    |
-| 2.3095     | 6.0236          | 20    |
-| 2.2707     | 6.0046          | 21    |
-| 2.2307     | 6.0047          | 22    |
-| 2.2420     | 5.9822          | 23    |
-| 2.1877     | 5.9821          | 24    |
-| 2.1529     | 5.9695          | 25    |
-| 2.1017     | 5.9491          | 26    |
-| 2.0531     | 5.9321          | 27    |
-| 2.0368     | 5.9264          | 28    |
-| 1.9904     | 5.8998          | 29    |
-| 1.9361     | 5.8969          | 30    |
-| 1.8996     | 5.8903          | 31    |
-| 1.8659     | 5.8584          | 32    |
-| 1.8632     | 5.8600          | 33    |
-| 1.8212     | 5.8541          | 34    |
-| 1.7985     | 5.8355          | 35    |
-| 1.7606     | 5.8375          | 36    |
-| 1.7477     | 5.8386          | 37    |
-| 1.7227     | 5.8048          | 38    |
-| 1.6932     | 5.7964          | 39    |
-| 1.6661     | 5.8007          | 40    |
-| 1.6619     | 5.7988          | 41    |
-| 1.5900     | 5.7883          | 42    |
-| 1.5415     | 5.7777          | 43    |
-| 1.5588     | 5.7713          | 44    |
-| 1.5399     | 5.7631          | 45    |
-| 1.5140     | 5.7631          | 46    |
-| 1.4937     | 5.7553          | 47    |
-| 1.5147     | 5.7406          | 48    |
-| 1.4266     | 5.7349          | 49    |
-| 1.4252     | 5.7405          | 50    |
-| 1.3933     | 5.7348          | 51    |
-| 1.4023     | 5.7215          | 52    |
-| 1.3401     | 5.7227          | 53    |
-| 1.3143     | 5.7167          | 54    |
-| 1.3144     | 5.7003          | 55    |
-| 1.2713     | 5.7020          | 56    |
-| 1.2799     | 5.7082          | 57    |
-| 1.2838     | 5.6978          | 58    |
-| 1.2470     | 5.6985          | 59    |
-| 1.2221     | 5.7085          | 60    |
-| 1.2011     | 5.6839          | 61    |
-| 1.1714     | 5.6601          | 62    |
-| 1.2091     | 5.6667          | 63    |
-| 1.1699     | 5.6733          | 64    |
-| 1.1445     | 5.6703          | 65    |
-| 1.1000     | 5.6558          | 66    |
-| 1.1695     | 5.6495          | 67    |
-| 1.0887     | 5.6600          | 68    |
-| 1.0687     | 5.6746          | 69    |
-| 1.0707     | 5.6642          | 70    |
-| 1.0540     | 5.6388          | 71    |
-| 1.0631     | 5.6357          | 72    |
-| 1.0715     | 5.6466          | 73    |
-| 1.0207     | 5.6451          | 74    |
-| 1.0022     | 5.6403          | 75    |
-| 1.0054     | 5.6351          | 76    |
-| 0.9940     | 5.6329          | 77    |
-| 0.9626     | 5.6395          | 78    |
-| 0.9546     | 5.6376          | 79    |
-| 0.9911     | 5.6295          | 80    |
-| 0.9299     | 5.6289          | 81    |
-| 0.9670     | 5.6176          | 82    |
-| 0.9488     | 5.6055          | 83    |
-| 0.9189     | 5.6171          | 84    |
-| 0.9037     | 5.6366          | 85    |
-| 0.8709     | 5.6191          | 86    |
-| 0.8831     | 5.6023          | 87    |
-| 0.8548     | 5.6089          | 88    |
-| 0.8604     | 5.6212          | 89    |
-| 0.8613     | 5.6210          | 90    |
-| 0.8719     | 5.6093          | 91    |
-| 0.8374     | 5.6026          | 92    |
-| 0.8557     | 5.5959          | 93    |
-| 0.8125     | 5.5987          | 94    |
-| 0.7930     | 5.6022          | 95    |
-| 0.7937     | 5.6002          | 96    |
-| 0.8035     | 5.5926          | 97    |
-| 0.7795     | 5.5938          | 98    |
-| 0.7652     | 5.5941          | 99    |
+| 6.6715     | 6.6783          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.29.0
-- TensorFlow 2.12.0
-- Datasets 2.12.0
+- Transformers 4.27.0.dev0
+- TensorFlow 2.9.1
+- Datasets 2.5.1
 - Tokenizers 0.13.3

config.json

@@ -32,7 +32,7 @@
       "max_length": 50
     }
   },
-  "transformers_version": "4.29.0",
+  "transformers_version": "4.27.0.dev0",
   "use_cache": true,
-  "vocab_size": 2506
+  "vocab_size": 665
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 0,
-  "transformers_version": "4.29.0"
+  "transformers_version": "4.27.0.dev0"
 }

merges.txt

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