Multilingual-Perspectivist-NLU/irony_es_Argentina

README.md

@@ -0,0 +1,74 @@
+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: irony_es_Argentina
+  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. -->
+
+# irony_es_Argentina
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0031
+- Accuracy: 0.6687
+- Precision: 0.4590
+- Recall: 0.7330
+- F1: 0.5645
+
+## 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: 5e-06
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0043        | 1.0   | 123  | 0.0043          | 0.7071   | 0.0       | 0.0    | 0.0    |
+| 0.0041        | 2.0   | 246  | 0.0042          | 0.6426   | 0.3807    | 0.3508 | 0.3651 |
+| 0.0038        | 3.0   | 369  | 0.0037          | 0.5521   | 0.3639    | 0.7068 | 0.4804 |
+| 0.0038        | 4.0   | 492  | 0.0036          | 0.5353   | 0.3621    | 0.7696 | 0.4925 |
+| 0.0035        | 5.0   | 615  | 0.0032          | 0.5460   | 0.3716    | 0.7958 | 0.5067 |
+| 0.0031        | 6.0   | 738  | 0.0032          | 0.7117   | 0.5094    | 0.4241 | 0.4629 |
+| 0.0026        | 7.0   | 861  | 0.0028          | 0.6365   | 0.4311    | 0.7539 | 0.5486 |
+| 0.0021        | 8.0   | 984  | 0.0036          | 0.7086   | 0.5030    | 0.4346 | 0.4663 |
+| 0.0016        | 9.0   | 1107 | 0.0031          | 0.6687   | 0.4590    | 0.7330 | 0.5645 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.1

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "roberta-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00ecedc72dfed3d6af1947425782b90fc57ef3fe2cfcdbd098aa697b2f3cbcc9
+size 498657649

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bab047cfb68d5ea49bceb71fbdaa0b2c9c08bce31a682bd677f4cc9088e865a0
+size 4091