End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: xxxxxxxxx
+tags:
+- generated_from_trainer
+datasets:
+- AmazonScience/massive
+metrics:
+- f1
+model-index:
+- name: massive_indo
+  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. -->
+
+# massive_indo
+
+This model is a fine-tuned version of [xxxxxxxxx](https://huggingface.co/xxxxxxxxx) on the massive dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6866
+- F1: 0.8161
+
+## 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: 32
+- eval_batch_size: 32
+- 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 | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 2.0824        | 0.11  | 2000  | 1.6825          | 0.3184 |
+| 1.2059        | 0.22  | 4000  | 1.1052          | 0.5593 |
+| 0.8955        | 0.33  | 6000  | 0.8835          | 0.6588 |
+| 0.7748        | 0.44  | 8000  | 0.8215          | 0.6894 |
+| 0.6839        | 0.54  | 10000 | 0.7765          | 0.7234 |
+| 0.6299        | 0.65  | 12000 | 0.7514          | 0.7600 |
+| 0.5778        | 0.76  | 14000 | 0.6906          | 0.7707 |
+| 0.533         | 0.87  | 16000 | 0.6867          | 0.7771 |
+| 0.4877        | 0.98  | 18000 | 0.6850          | 0.7861 |
+| 0.4114        | 1.09  | 20000 | 0.6757          | 0.7907 |
+| 0.3815        | 1.2   | 22000 | 0.6798          | 0.7956 |
+| 0.3785        | 1.31  | 24000 | 0.6809          | 0.7987 |
+| 0.3645        | 1.42  | 26000 | 0.6739          | 0.8033 |
+| 0.3347        | 1.53  | 28000 | 0.6768          | 0.8037 |
+| 0.3345        | 1.63  | 30000 | 0.6457          | 0.8087 |
+| 0.3254        | 1.74  | 32000 | 0.6721          | 0.8055 |
+| 0.3131        | 1.85  | 34000 | 0.6542          | 0.8125 |
+| 0.3072        | 1.96  | 36000 | 0.6652          | 0.8070 |
+| 0.2343        | 2.07  | 38000 | 0.6754          | 0.8143 |
+| 0.2323        | 2.18  | 40000 | 0.6790          | 0.8167 |
+| 0.232         | 2.29  | 42000 | 0.6967          | 0.8101 |
+| 0.2171        | 2.4   | 44000 | 0.6999          | 0.8116 |
+| 0.215         | 2.51  | 46000 | 0.6927          | 0.8095 |
+| 0.2136        | 2.62  | 48000 | 0.6917          | 0.8155 |
+| 0.2008        | 2.72  | 50000 | 0.6837          | 0.8137 |
+| 0.1997        | 2.83  | 52000 | 0.6925          | 0.8140 |
+| 0.1926        | 2.94  | 54000 | 0.6866          | 0.8161 |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.0

config.json

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