End of training

README.md

@@ -0,0 +1,59 @@
+---
+license: mit
+base_model: xlm-roberta-large
+tags:
+- generated_from_trainer
+datasets:
+- squad
+model-index:
+- name: al-xml-r-l
+  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. -->
+
+# al-xml-r-l
+
+This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the squad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9690
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1398        | 1.0   | 1000 | 0.9690          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

runs/Mar16_18-57-20_31398cc7e04f/events.out.tfevents.1710615441.31398cc7e04f.62.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:abca43435256d938d00910468aff929ff1af800b9830b0dbfbc3ccd746c9f705
-size 5015
+oid sha256:b4d9bef63eb614ea3c31fb294bb13a0fcb857066345cfd9d405ebf5e8d0bea8f
+size 5640