End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: VenkatManda/V2
 tags:
 - generated_from_trainer
+datasets:
+- squad_v2
 model-index:
 - name: VV2
   results: []
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # VV2
 
-This model is a fine-tuned version of [VenkatManda/V2](https://huggingface.co/VenkatManda/V2) on an unknown dataset.
+This model is a fine-tuned version of [VenkatManda/V2](https://huggingface.co/VenkatManda/V2) on the squad_v2 dataset.
 
 ## Model description
 

all_results.json

@@ -0,0 +1,25 @@
+{
+    "epoch": 1.0,
+    "eval_HasAns_exact": 22.97081167532987,
+    "eval_HasAns_f1": 29.82730501295977,
+    "eval_HasAns_total": 5002,
+    "eval_NoAns_exact": 61.644657863145255,
+    "eval_NoAns_f1": 61.644657863145255,
+    "eval_NoAns_total": 4998,
+    "eval_best_exact": 50.0,
+    "eval_best_exact_thresh": 0.0,
+    "eval_best_f1": 50.00666666666667,
+    "eval_best_f1_thresh": 0.0,
+    "eval_exact": 42.3,
+    "eval_f1": 45.72961796748245,
+    "eval_runtime": 182.3087,
+    "eval_samples": 10000,
+    "eval_samples_per_second": 54.852,
+    "eval_steps_per_second": 6.857,
+    "eval_total": 10000,
+    "train_loss": 2.0202971784210204,
+    "train_runtime": 3140.5446,
+    "train_samples": 50000,
+    "train_samples_per_second": 15.921,
+    "train_steps_per_second": 1.99
+}

eval_results.json

@@ -0,0 +1,20 @@
+{
+    "epoch": 1.0,
+    "eval_HasAns_exact": 22.97081167532987,
+    "eval_HasAns_f1": 29.82730501295977,
+    "eval_HasAns_total": 5002,
+    "eval_NoAns_exact": 61.644657863145255,
+    "eval_NoAns_f1": 61.644657863145255,
+    "eval_NoAns_total": 4998,
+    "eval_best_exact": 50.0,
+    "eval_best_exact_thresh": 0.0,
+    "eval_best_f1": 50.00666666666667,
+    "eval_best_f1_thresh": 0.0,
+    "eval_exact": 42.3,
+    "eval_f1": 45.72961796748245,
+    "eval_runtime": 182.3087,
+    "eval_samples": 10000,
+    "eval_samples_per_second": 54.852,
+    "eval_steps_per_second": 6.857,
+    "eval_total": 10000
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "train_loss": 2.0202971784210204,
+    "train_runtime": 3140.5446,
+    "train_samples": 50000,
+    "train_samples_per_second": 15.921,
+    "train_steps_per_second": 1.99
+}

trainer_state.json

@@ -0,0 +1,62 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 6250,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.599744e-05,
+      "loss": 1.791,
+      "step": 1
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0,
+      "loss": 2.0203,
+      "step": 6250
+    },
+    {
+      "epoch": 1.0,
+      "eval_HasAns_exact": 22.97081167532987,
+      "eval_HasAns_f1": 29.82730501295977,
+      "eval_HasAns_total": 5002,
+      "eval_NoAns_exact": 61.644657863145255,
+      "eval_NoAns_f1": 61.644657863145255,
+      "eval_NoAns_total": 4998,
+      "eval_best_exact": 50.0,
+      "eval_best_exact_thresh": 0.0,
+      "eval_best_f1": 50.00666666666667,
+      "eval_best_f1_thresh": 0.0,
+      "eval_exact": 42.3,
+      "eval_f1": 45.72961796748245,
+      "eval_runtime": 181.2848,
+      "eval_samples_per_second": 55.162,
+      "eval_steps_per_second": 6.895,
+      "eval_total": 10000,
+      "step": 6250
+    },
+    {
+      "epoch": 1.0,
+      "step": 6250,
+      "total_flos": 45741081600000.0,
+      "train_loss": 2.0202971784210204,
+      "train_runtime": 3140.5446,
+      "train_samples_per_second": 15.921,
+      "train_steps_per_second": 1.99
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 6250,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 200,
+  "total_flos": 45741081600000.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}