End of training

README.md

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+---
+license: apache-2.0
+base_model: StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner
+  results: []
+---
+
+<!-- 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. -->
+
+# roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner
+
+This model is a fine-tuned version of [StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES](https://huggingface.co/StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2282
+- Precision: 0.9407
+- Recall: 0.9284
+- F1: 0.9345
+- Accuracy: 0.9271
+
+## 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: 2e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.37  | 100  | 0.7545          | 0.7917    | 0.8473 | 0.8186 | 0.7901   |
+| No log        | 0.75  | 200  | 0.5437          | 0.8113    | 0.8586 | 0.8343 | 0.8102   |
+| No log        | 1.12  | 300  | 0.4143          | 0.8746    | 0.8822 | 0.8784 | 0.8678   |
+| No log        | 1.49  | 400  | 0.3410          | 0.9114    | 0.8919 | 0.9015 | 0.8937   |
+| 0.625         | 1.87  | 500  | 0.3050          | 0.9128    | 0.8935 | 0.9030 | 0.8958   |
+| 0.625         | 2.24  | 600  | 0.2825          | 0.9171    | 0.9005 | 0.9087 | 0.9020   |
+| 0.625         | 2.61  | 700  | 0.2688          | 0.9195    | 0.9060 | 0.9127 | 0.9059   |
+| 0.625         | 2.99  | 800  | 0.2610          | 0.9244    | 0.9044 | 0.9143 | 0.9078   |
+| 0.625         | 3.36  | 900  | 0.2537          | 0.9261    | 0.9070 | 0.9165 | 0.9099   |
+| 0.2911        | 3.73  | 1000 | 0.2498          | 0.9285    | 0.9128 | 0.9206 | 0.9141   |
+| 0.2911        | 4.1   | 1100 | 0.2437          | 0.9283    | 0.9150 | 0.9216 | 0.9154   |
+| 0.2911        | 4.48  | 1200 | 0.2396          | 0.9295    | 0.9183 | 0.9239 | 0.9178   |
+| 0.2911        | 4.85  | 1300 | 0.2385          | 0.9324    | 0.9198 | 0.9261 | 0.9195   |
+| 0.2911        | 5.22  | 1400 | 0.2354          | 0.9344    | 0.9223 | 0.9283 | 0.9214   |
+| 0.2505        | 5.6   | 1500 | 0.2343          | 0.9347    | 0.9223 | 0.9285 | 0.9216   |
+| 0.2505        | 5.97  | 1600 | 0.2343          | 0.9362    | 0.9234 | 0.9297 | 0.9224   |
+| 0.2505        | 6.34  | 1700 | 0.2318          | 0.9368    | 0.9251 | 0.9310 | 0.9238   |
+| 0.2505        | 6.72  | 1800 | 0.2301          | 0.9375    | 0.9265 | 0.9319 | 0.9250   |
+| 0.2505        | 7.09  | 1900 | 0.2304          | 0.9379    | 0.9263 | 0.9321 | 0.9250   |
+| 0.2219        | 7.46  | 2000 | 0.2283          | 0.9387    | 0.9283 | 0.9335 | 0.9265   |
+| 0.2219        | 7.84  | 2100 | 0.2305          | 0.9392    | 0.9265 | 0.9328 | 0.9254   |
+| 0.2219        | 8.21  | 2200 | 0.2299          | 0.9398    | 0.9268 | 0.9332 | 0.9257   |
+| 0.2219        | 8.58  | 2300 | 0.2289          | 0.9398    | 0.9277 | 0.9337 | 0.9264   |
+| 0.2219        | 8.96  | 2400 | 0.2282          | 0.9407    | 0.9284 | 0.9345 | 0.9271   |
+| 0.219         | 9.33  | 2500 | 0.2281          | 0.9407    | 0.9287 | 0.9347 | 0.9274   |
+| 0.219         | 9.7   | 2600 | 0.2277          | 0.9403    | 0.9287 | 0.9345 | 0.9275   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 52000
+}

model.safetensors

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+size 501586224

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
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+      "lstrip": false,
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+      "special": true
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+    "51999": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "max_len": 512,
+  "max_length": 512,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "stride": 0,
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}

training_args.bin

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