End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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

@@ -0,0 +1,87 @@
+---
+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: 0.6883
+- F1: 0.8201
+
+## 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     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 2.1343        | 0.11  | 2000  | 1.7374          | 0.2664 |
+| 1.2506        | 0.22  | 4000  | 1.1294          | 0.5441 |
+| 0.9268        | 0.33  | 6000  | 0.8991          | 0.6547 |
+| 0.7993        | 0.44  | 8000  | 0.8401          | 0.6819 |
+| 0.6985        | 0.54  | 10000 | 0.7629          | 0.7245 |
+| 0.6418        | 0.65  | 12000 | 0.7507          | 0.7559 |
+| 0.5887        | 0.76  | 14000 | 0.6858          | 0.7796 |
+| 0.5462        | 0.87  | 16000 | 0.6852          | 0.7872 |
+| 0.508         | 0.98  | 18000 | 0.6731          | 0.7836 |
+| 0.4222        | 1.09  | 20000 | 0.6884          | 0.7902 |
+| 0.3948        | 1.2   | 22000 | 0.6809          | 0.7897 |
+| 0.3947        | 1.31  | 24000 | 0.6894          | 0.7935 |
+| 0.3779        | 1.42  | 26000 | 0.6702          | 0.8026 |
+| 0.3488        | 1.53  | 28000 | 0.6762          | 0.7935 |
+| 0.3461        | 1.63  | 30000 | 0.6737          | 0.8054 |
+| 0.3372        | 1.74  | 32000 | 0.6720          | 0.8062 |
+| 0.3275        | 1.85  | 34000 | 0.6526          | 0.8156 |
+| 0.3224        | 1.96  | 36000 | 0.6717          | 0.8068 |
+| 0.2425        | 2.07  | 38000 | 0.6810          | 0.8143 |
+| 0.2423        | 2.18  | 40000 | 0.6668          | 0.8196 |
+| 0.2394        | 2.29  | 42000 | 0.7014          | 0.8125 |
+| 0.2247        | 2.4   | 44000 | 0.6842          | 0.8167 |
+| 0.2253        | 2.51  | 46000 | 0.7012          | 0.8130 |
+| 0.2225        | 2.62  | 48000 | 0.6907          | 0.8178 |
+| 0.2074        | 2.72  | 50000 | 0.6814          | 0.8206 |
+| 0.2095        | 2.83  | 52000 | 0.6928          | 0.8192 |
+| 0.2018        | 2.94  | 54000 | 0.6883          | 0.8201 |
+
+
+### 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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