Training complete

README.md

@@ -4,26 +4,11 @@ base_model: bert-base-uncased
 tags:
 - classification
 - generated_from_trainer
-datasets:
-- poem_sentiment
 metrics:
 - accuracy
 model-index:
 - name: clasificador-poem-sentiment
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: poem_sentiment
-      type: poem_sentiment
-      config: default
-      split: test
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8461538461538461
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # clasificador-poem-sentiment
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the poem_sentiment dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5423
-- Accuracy: 0.8462
+- Loss: 0.4418
+- Accuracy: 0.875
 
 ## Model description
 
@@ -65,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 112  | 0.4428          | 0.8558   |
-| No log        | 2.0   | 224  | 0.4875          | 0.8462   |
-| No log        | 3.0   | 336  | 0.5423          | 0.8462   |
+| No log        | 1.0   | 112  | 0.5097          | 0.875    |
+| No log        | 2.0   | 224  | 0.4552          | 0.8654   |
+| No log        | 3.0   | 336  | 0.4418          | 0.875    |
 
 
 ### Framework versions
 
-- Transformers 4.36.0
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

@@ -32,7 +32,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.36.0",
+  "transformers_version": "4.38.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

model.safetensors

@@ -1,3 +1,3 @@
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 size 437964800

training_args.bin

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