update model card README.md

README.md

@@ -0,0 +1,61 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: test_trainer
+  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. -->
+
+# test_trainer
+
+This model is a fine-tuned version of [FinanceInc/finbert-pretrain](https://huggingface.co/FinanceInc/finbert-pretrain) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 9.5916
+- Accuracy: 0.0001
+
+## 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: 40
+- eval_batch_size: 40
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 9.6334        | 1.0   | 2975 | 9.6220          | 0.0001   |
+| 9.6098        | 2.0   | 5950 | 9.6034          | 0.0001   |
+| 9.6041        | 3.0   | 8925 | 9.5916          | 0.0001   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.0
+- Tokenizers 0.13.2