betoNer-biobert

README.md

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+---
+library_name: transformers
+base_model: dccuchile/bert-base-spanish-wwm-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: betoNer-biobert
+  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. -->
+
+# betoNer-biobert
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1179
+- Precision: 0.9511
+- Recall: 0.9644
+- F1: 0.9577
+- Accuracy: 0.9773
+
+## 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-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 306  | 0.1159          | 0.9263    | 0.9509 | 0.9384 | 0.9686   |
+| 0.3168        | 2.0   | 612  | 0.1014          | 0.9358    | 0.9642 | 0.9498 | 0.9742   |
+| 0.3168        | 3.0   | 918  | 0.0959          | 0.9462    | 0.9656 | 0.9558 | 0.9767   |
+| 0.0777        | 4.0   | 1224 | 0.1011          | 0.9451    | 0.9661 | 0.9555 | 0.9767   |
+| 0.0541        | 5.0   | 1530 | 0.1073          | 0.9512    | 0.9643 | 0.9577 | 0.9772   |
+| 0.0541        | 6.0   | 1836 | 0.1083          | 0.9441    | 0.9611 | 0.9525 | 0.9751   |
+| 0.0385        | 7.0   | 2142 | 0.1100          | 0.9515    | 0.9632 | 0.9573 | 0.9776   |
+| 0.0385        | 8.0   | 2448 | 0.1153          | 0.9477    | 0.9658 | 0.9567 | 0.9770   |
+| 0.0325        | 9.0   | 2754 | 0.1161          | 0.9495    | 0.9633 | 0.9564 | 0.9769   |
+| 0.0255        | 10.0  | 3060 | 0.1179          | 0.9511    | 0.9644 | 0.9577 | 0.9773   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -83,7 +83,7 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
+  "torch_dtype": "float16",
   "transformers_version": "4.45.1",
   "type_vocab_size": 2,
   "use_cache": true,

model.safetensors

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-size 437156776
+oid sha256:1acf3303387f5a48047c7ffb677f03f8bfefd2cc8df235dee6de4a1066b03bc9
+size 218589948

runs/Nov20_16-48-49_cb4c53c587ac/events.out.tfevents.1732126742.cb4c53c587ac.30.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c3f93c13445ca848546dc66a66e19197f20dd212962ead2274de83a8b1741cc4
+size 560