End of training

README.md

@@ -1,5 +1,4 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
@@ -12,10 +11,10 @@ probably proofread and complete it, then remove this comment. -->
 
 # nlp-esg-scoring/bert-base-finetuned-esg-a4s
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.1318
-- Validation Loss: 2.1188
+- Train Loss: 1.9406
+- Validation Loss: 1.9964
 - Epoch: 9
 
 ## Model description
@@ -35,23 +34,23 @@ 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': -624, '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': -812, '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 |
 |:----------:|:---------------:|:-----:|
-| 2.1211     | 2.1488          | 0     |
-| 2.1400     | 2.1489          | 1     |
-| 2.1339     | 2.1089          | 2     |
-| 2.1170     | 2.1293          | 3     |
-| 2.1438     | 2.1253          | 4     |
-| 2.1377     | 2.1554          | 5     |
-| 2.1308     | 2.1075          | 6     |
-| 2.1252     | 2.1396          | 7     |
-| 2.1216     | 2.1785          | 8     |
-| 2.1318     | 2.1188          | 9     |
+| 2.1261     | 2.1423          | 0     |
+| 2.0926     | 2.0888          | 1     |
+| 2.0674     | 2.0811          | 2     |
+| 2.0043     | 2.0436          | 3     |
+| 1.9720     | 1.9927          | 4     |
+| 1.9110     | 1.9887          | 5     |
+| 1.9278     | 2.0719          | 6     |
+| 1.9205     | 1.9994          | 7     |
+| 1.9308     | 2.0164          | 8     |
+| 1.9406     | 1.9964          | 9     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "nlp-esg-scoring/bert-base-finetuned-esg-a4s",
   "architectures": [
     "BertForMaskedLM"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:99ec7ae3e7e94fb498eed74ff5adadebbc7e65a68727651825ac78f981426a00
+oid sha256:0af39253a8f54952e5fe29781a2050a743dda60598f3ae2ed615036b5526329f
 size 533687680

tokenizer_config.json

@@ -3,7 +3,7 @@
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "name_or_path": "bert-base-uncased",
+  "name_or_path": "nlp-esg-scoring/bert-base-finetuned-esg-a4s",
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "special_tokens_map_file": null,