Model save

README.md

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+---
+license: apache-2.0
+base_model: albert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ALBERT_Tweet_tuned
+  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. -->
+
+# ALBERT_Tweet_tuned
+
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6621
+- Accuracy: 0.6684
+
+## 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: 16
+- eval_batch_size: 16
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.56  | 100  | 0.6995          | 0.5288   |
+| No log        | 1.12  | 200  | 0.6658          | 0.6555   |
+| No log        | 1.68  | 300  | 0.6251          | 0.6660   |
+| No log        | 2.23  | 400  | 0.6158          | 0.6932   |
+| 0.5771        | 2.79  | 500  | 0.6305          | 0.6974   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Mar13_07-51-11_59ce2ec29453/events.out.tfevents.1710316305.59ce2ec29453.1405.0

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