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
+eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,49 @@
+---
+base_model: VenkatManda/BertMiniV3
+tags:
+- generated_from_trainer
+datasets:
+- squad_v2
+model-index:
+- name: BertMiniV3
+  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. -->
+
+# BertMiniV3
+
+This model is a fine-tuned version of [VenkatManda/BertMiniV3](https://huggingface.co/VenkatManda/BertMiniV3) on the squad_v2 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: 2.0
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

all_results.json

@@ -0,0 +1,19 @@
+{
+    "eval_HasAns_exact": 43.68252698920432,
+    "eval_HasAns_f1": 51.86559486275948,
+    "eval_HasAns_total": 5002,
+    "eval_NoAns_exact": 50.40016006402561,
+    "eval_NoAns_f1": 50.40016006402561,
+    "eval_NoAns_total": 4998,
+    "eval_best_exact": 50.02,
+    "eval_best_exact_thresh": 0.0,
+    "eval_best_f1": 51.163646740828945,
+    "eval_best_f1_thresh": 0.0,
+    "eval_exact": 47.04,
+    "eval_f1": 51.13317055035233,
+    "eval_runtime": 840.5387,
+    "eval_samples": 10000,
+    "eval_samples_per_second": 11.897,
+    "eval_steps_per_second": 1.487,
+    "eval_total": 10000
+}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "VenkatManda/BertMiniV2",
+  "_name_or_path": "VenkatManda/BertMiniV3",
   "architectures": [
     "BertForQuestionAnswering"
   ],

eval_nbest_predictions.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbb2d9ac216fdceb2d22af1a1bf915dcbb8bed7ad0cd5a0a022cd02810dd2ed9
+size 46353720

eval_results.json

@@ -0,0 +1,19 @@
+{
+    "eval_HasAns_exact": 43.68252698920432,
+    "eval_HasAns_f1": 51.86559486275948,
+    "eval_HasAns_total": 5002,
+    "eval_NoAns_exact": 50.40016006402561,
+    "eval_NoAns_f1": 50.40016006402561,
+    "eval_NoAns_total": 4998,
+    "eval_best_exact": 50.02,
+    "eval_best_exact_thresh": 0.0,
+    "eval_best_f1": 51.163646740828945,
+    "eval_best_f1_thresh": 0.0,
+    "eval_exact": 47.04,
+    "eval_f1": 51.13317055035233,
+    "eval_runtime": 840.5387,
+    "eval_samples": 10000,
+    "eval_samples_per_second": 11.897,
+    "eval_steps_per_second": 1.487,
+    "eval_total": 10000
+}

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0a2790f4366e3b89a6c9fa533b4ad1c4cee583fc0c4f8627c8893469ac157abe
+oid sha256:de87dab9711e959e252cb5459b9b0ec13e017e2c3f983a17b5a9b3b4027cb751
 size 4728