Model save

README.md

@@ -0,0 +1,72 @@
+---
+base_model: dccuchile/bert-base-spanish-wwm-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- recall
+model-index:
+- name: bert-base-spanish-wwm-cased_K1
+  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-base-spanish-wwm-cased_K1
+
+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: 0.9613
+- F1 Macro: 0.8419
+- F1: 0.8852
+- F1 Neg: 0.7986
+- Acc: 0.8538
+- Prec: 0.8826
+- Recall: 0.8878
+- Mcc: 0.6838
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
+| No log        | 1.0   | 400  | 0.4152          | 0.8292   | 0.8696 | 0.7889 | 0.8387 | 0.8940 | 0.8465 | 0.6605 |
+| 0.4102        | 2.0   | 800  | 0.5375          | 0.8291   | 0.8746 | 0.7836 | 0.8413 | 0.8772 | 0.8720 | 0.6583 |
+| 0.2053        | 3.0   | 1200 | 0.7594          | 0.8309   | 0.8818 | 0.7800 | 0.8462 | 0.8612 | 0.9035 | 0.6637 |
+| 0.0939        | 4.0   | 1600 | 0.9613          | 0.8419   | 0.8852 | 0.7986 | 0.8538 | 0.8826 | 0.8878 | 0.6838 |
+| 0.0321        | 5.0   | 2000 | 1.0170          | 0.8370   | 0.8830 | 0.7909 | 0.85   | 0.8745 | 0.8917 | 0.6743 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72aeebdf4ba971f7d2b385e43a5d70542469e0f541b0f1c0a380c2f70aee7ed4
+oid sha256:dde17e4a248169af6297c4e1a64fcddb80d10962a078aa8430a801ef8b7ea658
 size 439433208