Training completed!

README.md

@@ -1,17 +1,13 @@
 ---
 license: mit
-base_model: xlm-roberta-base
+base_model: seddiktrk/xlm-roberta-base-finetuned-panx-39-langs
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-39-langs
   results: []
-datasets:
-- google/xtreme
-metrics:
-- f1
-pipeline_tag: token-classification
-library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,15 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-finetuned-panx-39-langs
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on 39 google/xtreme/pan-x datasets.
+This model is a fine-tuned version of [seddiktrk/xlm-roberta-base-finetuned-panx-39-langs](https://huggingface.co/seddiktrk/xlm-roberta-base-finetuned-panx-39-langs) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1859
-- eval_f1: 0.8572
-- eval_runtime: 1126.3679
-- eval_samples_per_second: 232.784
-- eval_steps_per_second: 14.549
-- epoch: 1.2
-- step: 63030
+- Loss: 0.1650
+- F1: 0.8856
 
 ## Model description
 
@@ -52,11 +43,25 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.1912        | 0.12  | 6303  | 0.2009          | 0.8458 |
+| 0.1901        | 0.24  | 12606 | 0.1971          | 0.8573 |
+| 0.1821        | 0.36  | 18909 | 0.1946          | 0.8612 |
+| 0.175         | 0.48  | 25212 | 0.1813          | 0.8671 |
+| 0.1688        | 0.6   | 31515 | 0.1770          | 0.8729 |
+| 0.1637        | 0.72  | 37818 | 0.1674          | 0.8781 |
+| 0.1536        | 0.84  | 44121 | 0.1665          | 0.8822 |
+| 0.146         | 0.96  | 50424 | 0.1650          | 0.8856 |
+
 
 ### Framework versions
 
 - Transformers 4.44.0
 - Pytorch 2.4.0
 - Datasets 2.21.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "xlm-roberta-base",
+  "_name_or_path": "seddiktrk/xlm-roberta-base-finetuned-panx-39-langs",
   "architectures": [
     "XLMRobertaForTokenClassification"
   ],

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70ac9f130eb2a8f19d1f889ab551bddad7b93585d7a6f490f5c38598e9429eac
+oid sha256:bc4ba945f9234f9f491ee26051f662d159339be300045ad620b2066068195e4f
 size 1109857804

runs/Sep05_16-12-01_6a97462a76c2/events.out.tfevents.1725552764.6a97462a76c2.36.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b522d2e2a70142cb7ffda33cc10e02eeea7c16f300280bef4216f55cae34b522
+size 9953

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:610b26ead11360e4d37e3efab6fad1397d3cafa1570158431aec0dc1c6bddc9d
+oid sha256:0487bc4ed5838def25d34851a162bf41471b5ebd5f3578061ef642aab567831d
 size 5240