End of training

DisamBertSingleSense.py

@@ -132,6 +132,3 @@ class DisamBertSingleSense(PreTrainedModel):
             hidden_states=base_model_output.hidden_states if output_hidden_states else None,
             attentions=base_model_output.attentions if output_attentions else None,
         )
-    
-    def get_input_embeddings(self):
-        return self.BaseModel.get_input_embeddings()

README.md

@@ -1,199 +1,100 @@
 ---
 library_name: transformers
-tags: []
+language:
+- en
+license: apache-2.0
+base_model: answerdotai/ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: DisambertSingleSense-base
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
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-## How to Get Started with the Model
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-#### Preprocessing [optional]
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-#### Training Hyperparameters
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-## Environmental Impact
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-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+<!-- 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. -->
+
+# DisambertSingleSense-base
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the semcor dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3051
+- Precision: 0.6129
+- Recall: 0.6236
+- F1: 0.6182
+- Matthews: 0.6233
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- 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: inverse_sqrt
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 30
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Precision | Recall | F1     | Matthews |
+|:-------------:|:-----:|:------:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0     | 0      | 208.8371        | 0.0       | 0.0    | 0.0    | 0.0      |
+| 6.4576        | 1.0   | 14014  | 7.0514          | 0.5818    | 0.5259 | 0.5524 | 0.5256   |
+| 4.4009        | 2.0   | 28028  | 5.0733          | 0.5949    | 0.5819 | 0.5884 | 0.5819   |
+| 2.8900        | 3.0   | 42042  | 4.5159          | 0.6520    | 0.6131 | 0.6319 | 0.6127   |
+| 2.4798        | 4.0   | 56056  | 4.2910          | 0.6449    | 0.6060 | 0.6249 | 0.6058   |
+| 2.1994        | 5.0   | 70070  | 4.1419          | 0.6295    | 0.6126 | 0.6209 | 0.6126   |
+| 1.9889        | 6.0   | 84084  | 4.0561          | 0.6316    | 0.6192 | 0.6253 | 0.6191   |
+| 1.8689        | 7.0   | 98098  | 3.9877          | 0.6350    | 0.6183 | 0.6266 | 0.6182   |
+| 1.7944        | 8.0   | 112112 | 3.9447          | 0.6216    | 0.6218 | 0.6217 | 0.6217   |
+| 1.6724        | 9.0   | 126126 | 3.9353          | 0.6037    | 0.6096 | 0.6066 | 0.6094   |
+| 1.6316        | 10.0  | 140140 | 3.9487          | 0.6135    | 0.6148 | 0.6141 | 0.6147   |
+| 1.6296        | 11.0  | 154154 | 3.9428          | 0.6160    | 0.6231 | 0.6195 | 0.6231   |
+| 1.5991        | 12.0  | 168168 | 4.0174          | 0.6137    | 0.6161 | 0.6149 | 0.6160   |
+| 1.5809        | 13.0  | 182182 | 4.0325          | 0.6087    | 0.6166 | 0.6126 | 0.6165   |
+| 1.5724        | 14.0  | 196196 | 4.0345          | 0.6157    | 0.6236 | 0.6196 | 0.6235   |
+| 1.5707        | 15.0  | 210210 | 4.0787          | 0.6142    | 0.6236 | 0.6189 | 0.6235   |
+| 1.5606        | 16.0  | 224224 | 4.0881          | 0.6146    | 0.6205 | 0.6175 | 0.6204   |
+| 1.5534        | 17.0  | 238238 | 4.1319          | 0.6041    | 0.6139 | 0.6090 | 0.6137   |
+| 1.5543        | 18.0  | 252252 | 4.1268          | 0.6133    | 0.6231 | 0.6182 | 0.6229   |
+| 1.5438        | 19.0  | 266266 | 4.1633          | 0.6080    | 0.6174 | 0.6127 | 0.6172   |
+| 1.5446        | 20.0  | 280280 | 4.1796          | 0.6080    | 0.6201 | 0.6140 | 0.6198   |
+| 1.5378        | 21.0  | 294294 | 4.2057          | 0.6144    | 0.6236 | 0.6190 | 0.6233   |
+| 1.5371        | 22.0  | 308308 | 4.2225          | 0.6119    | 0.6218 | 0.6168 | 0.6216   |
+| 1.5343        | 23.0  | 322322 | 4.2246          | 0.6051    | 0.6179 | 0.6114 | 0.6176   |
+| 1.5313        | 24.0  | 336336 | 4.2584          | 0.6086    | 0.6166 | 0.6126 | 0.6163   |
+| 1.5306        | 25.0  | 350350 | 4.2558          | 0.6084    | 0.6183 | 0.6133 | 0.6181   |
+| 1.5268        | 26.0  | 364364 | 4.2737          | 0.6134    | 0.6231 | 0.6182 | 0.6229   |
+| 1.5271        | 27.0  | 378378 | 4.2826          | 0.6059    | 0.6174 | 0.6116 | 0.6172   |
+| 1.5267        | 28.0  | 392392 | 4.2831          | 0.6041    | 0.6161 | 0.6100 | 0.6159   |
+| 1.5250        | 29.0  | 406406 | 4.2994          | 0.6095    | 0.6192 | 0.6143 | 0.6189   |
+| 1.5238        | 30.0  | 420420 | 4.3051          | 0.6129    | 0.6236 | 0.6182 | 0.6233   |
+
+
+### Framework versions
+
+- Transformers 5.2.0
+- Pytorch 2.6.0+cu124
+- Datasets 4.5.0
+- Tokenizers 0.22.2

config.json

@@ -117738,7 +117738,7 @@
   "sparse_pred_ignore_index": -100,
   "sparse_prediction": false,
   "tie_word_embeddings": true,
-  "transformers_version": "5.1.0",
+  "transformers_version": "5.2.0",
   "use_cache": false,
   "vocab_size": 50370
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29b37d70127cb41266c8a6b4ddd50d910e208364a76db5e0d6c1a23cd2f4e0a4
+oid sha256:f23f0a9070c06ea4016a745d0c112399fece10b493814edd9213c75d987e690f
 size 957996876

tokenizer_config.json

@@ -0,0 +1,20 @@
+{
+  "backend": "tokenizers",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "extra_special_tokens": [
+    "[START]",
+    "[END]"
+  ],
+  "is_local": false,
+  "mask_token": "[MASK]",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 8192,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaaef26dc3ff2a41322089fbda6952b609589eb9324e926c820581bc232909b1
+size 4856