End of training

README.md

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+---
+base_model: finiteautomata/beto-emotion-analysis
+tags:
+- generated_from_trainer
+model-index:
+- name: nlp_covid_tweets
+  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. -->
+
+# nlp_covid_tweets
+
+This model is a fine-tuned version of [finiteautomata/beto-emotion-analysis](https://huggingface.co/finiteautomata/beto-emotion-analysis) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0010
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 1    | 0.0035          |
+| No log        | 2.0   | 2    | 0.0389          |
+| No log        | 3.0   | 3    | 0.0012          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "finiteautomata/beto-emotion-analysis",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "others",
+    "1": "joy",
+    "2": "sadness",
+    "3": "anger",
+    "4": "surprise",
+    "5": "disgust",
+    "6": "fear"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": 3,
+    "disgust": 5,
+    "fear": 6,
+    "joy": 1,
+    "others": 0,
+    "sadness": 2,
+    "surprise": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31006
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 1,
+  "transformers_version": "4.33.1"
+}

pytorch_model.bin

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+size 439614901

training_args.bin

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