update model card README.md

README.md

@@ -0,0 +1,67 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-finetuned-ner-clinical-plncmm-large-22
+  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. -->
+
+# bert-finetuned-ner-clinical-plncmm-large-22
+
+This model is a fine-tuned version of [plncmm/beto-clinical-wl-es](https://huggingface.co/plncmm/beto-clinical-wl-es) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2380
+- Precision: 0.7554
+- Recall: 0.8271
+- F1: 0.7896
+- Accuracy: 0.9320
+
+## 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: 3e-05
+- train_batch_size: 24
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 400
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.5983        | 1.0   | 572  | 0.2405          | 0.7044    | 0.7964 | 0.7476 | 0.9227   |
+| 0.1979        | 2.0   | 1144 | 0.2421          | 0.7296    | 0.8189 | 0.7717 | 0.9275   |
+| 0.1406        | 3.0   | 1716 | 0.2380          | 0.7554    | 0.8271 | 0.7896 | 0.9320   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3