Training in progress epoch 0

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: distilroberta-base
 tags:
@@ -15,10 +16,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1337
-- Validation Loss: 0.1703
-- Train Accuracy: 0.942
-- Epoch: 2
+- Train Loss: 0.4750
+- Train Accuracy: 0.9315
+- Validation Loss: 0.2028
+- Validation Accuracy: 0.9315
+- Train Precision: 0.9325
+- Train Recall: 0.9315
+- Train F1: 0.9312
+- Epoch: 0
 
 ## Model description
 
@@ -37,21 +42,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy | Epoch |
-|:----------:|:---------------:|:--------------:|:-----:|
-| 0.5011     | 0.2383          | 0.93           | 0     |
-| 0.1732     | 0.1821          | 0.941          | 1     |
-| 0.1337     | 0.1703          | 0.942          | 2     |
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
+| 0.4750     | 0.9315         | 0.2028          | 0.9315              | 0.9325          | 0.9315       | 0.9312   | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- TensorFlow 2.15.0
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.46.2
+- TensorFlow 2.17.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

@@ -35,7 +35,7 @@
   "num_hidden_layers": 6,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.46.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b0eca32892ffbb82e4a8c81aa9bc7c4480bd509f8b8b7cf5501dadce31bf74a
+oid sha256:021287e96ab47c0c6e58940c9482849b01eec13a46f8399c3bcb7dbcd9f0376e
 size 328641624

tokenizer_config.json

@@ -43,7 +43,7 @@
     }
   },
   "bos_token": "<s>",
-  "clean_up_tokenization_spaces": true,
+  "clean_up_tokenization_spaces": false,
   "cls_token": "<s>",
   "eos_token": "</s>",
   "errors": "replace",