End of training

README.md

@@ -16,12 +16,12 @@ model-index:
       name: offendes
       type: offendes
       config: es
-      split: test
+      split: validation
       args: es
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8782154931647802
+      value: 0.83
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the offendes dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3688
-- Accuracy: 0.8782
+- Loss: 0.5610
+- Accuracy: 0.83
 
 ## Model description
 
@@ -63,13 +63,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3579        | 1.0   | 1045 | 0.3646          | 0.8756   |
-| 0.2657        | 2.0   | 2090 | 0.3688          | 0.8782   |
+| 0.3507        | 1.0   | 1045 | 0.5548          | 0.84     |
+| 0.268         | 2.0   | 2090 | 0.5610          | 0.83     |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 2.1.0+cu118
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -32,6 +32,6 @@
   "sinusoidal_pos_embds": true,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
+  "transformers_version": "4.35.2",
   "vocab_size": 31002
 }

model.safetensors

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 size 269313280

runs/Dec18_14-06-08_3495581a570c/events.out.tfevents.1702908372.3495581a570c.1549.0

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training_args.bin

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