Training complete

README.md

@@ -0,0 +1,53 @@
+---
+license: apache-2.0
+base_model: albert-base-v2
+tags:
+- generated_from_trainer
+model-index:
+- name: albert-base-v2-finetuned-squad
+  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-base-v2-finetuned-squad
+
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset.
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2c151a7ba8bf209823bbe6583d2e0173eac35474ce5c2366becdfca6148c6efb
+oid sha256:452c84571f389ce21e9e354f9043f0cbe9d670fe621bf260b7624ab5631d00a9
 size 44381360

runs/Jul11_04-03-19_bd990d8cf098/events.out.tfevents.1720670604.bd990d8cf098.612.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:237404da4fc422000815b382de97e9962b913df89432826204066d96cf9f93e9
-size 80347
+oid sha256:25a7d8b4f5c8f801a674082739da0979cda513de144d3df09bc704cdd4660b15
+size 82642