End of training

README.md

@@ -1,4 +1,5 @@
 ---
+license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
@@ -11,10 +12,10 @@ probably proofread and complete it, then remove this comment. -->
 
 # nlp-esg-scoring/bert-base-finetuned-cleaned-esg-plus
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.3364
-- Validation Loss: 2.1810
+- Train Loss: 2.7191
+- Validation Loss: 2.5365
 - Epoch: 9
 
 ## Model description
@@ -34,23 +35,23 @@ 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': 2455, '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}
+- 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': -146, '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: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.3353     | 2.1923          | 0     |
-| 2.3346     | 2.1864          | 1     |
-| 2.3374     | 2.1929          | 2     |
-| 2.3355     | 2.1896          | 3     |
-| 2.3393     | 2.2022          | 4     |
-| 2.3367     | 2.2066          | 5     |
-| 2.3349     | 2.1857          | 6     |
-| 2.3339     | 2.1901          | 7     |
-| 2.3323     | 2.1929          | 8     |
-| 2.3364     | 2.1810          | 9     |
+| 3.0360     | 2.5754          | 0     |
+| 2.7263     | 2.5351          | 1     |
+| 2.7204     | 2.5503          | 2     |
+| 2.7206     | 2.5430          | 3     |
+| 2.7238     | 2.5471          | 4     |
+| 2.7248     | 2.5016          | 5     |
+| 2.7181     | 2.5243          | 6     |
+| 2.7158     | 2.5268          | 7     |
+| 2.7140     | 2.5042          | 8     |
+| 2.7191     | 2.5365          | 9     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "nlp-esg-scoring/bert-base-finetuned-cleaned-esg-plus",
+  "_name_or_path": "bert-base-uncased",
   "architectures": [
     "BertForMaskedLM"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed642edd01c9ba849204498ad8061db97ec79ed7b8ec3a6c85f083bc59ebcc13
+oid sha256:f5b8e4909f95b67dbbd02989b22ee225965463cc6e6306dc27eacf9aef62d460
 size 533687680

tokenizer_config.json

@@ -3,7 +3,7 @@
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "name_or_path": "nlp-esg-scoring/bert-base-finetuned-cleaned-esg-plus",
+  "name_or_path": "bert-base-uncased",
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "special_tokens_map_file": null,