End of training

README.md

@@ -1,15 +1,62 @@
 ---
-license: apache-2.0
-datasets:
-- Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75
-pipeline_tag: text-classification
+base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
 tags:
-- finance
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: twitter_xlm_robertta_sentiment_financial_news
+  results: []
 ---
 
-Model [Cardiff-Twitter-XLM-Roberta](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) fine tuned on the financial dataset [financial_news_sentiment_mixte_with_phrasebank_75](https://huggingface.co/datasets/Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75).
+<!-- 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. -->
 
-The dataset's column used to fine tune the model is **summary_detail_with_title**.
+# twitter_xlm_robertta_sentiment_financial_news
 
+This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4492
+- F1: 0.8812
 
-The model is trained in only 3 epochs, with 300 warm-up steps.
+## 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-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
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.518         | 1.0   | 556  | 0.4881          | 0.8184 |
+| 0.3534        | 2.0   | 1112 | 0.5041          | 0.8797 |
+| 0.1781        | 3.0   | 1668 | 0.4492          | 0.8812 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.1

pytorch_model.bin

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