End of training

README.md

@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6632
-- Precision: 0.6023
-- Recall: 0.9989
-- F1: 0.7515
+- Loss: 0.6607
+- Precision: 0.6098
+- Recall: 0.9752
+- F1: 0.7504
 
 ## Model description
 
@@ -54,13 +54,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| 0.6734        | 1.0   | 193  | 0.6691          | 0.6014    | 1.0    | 0.7511 |
-| 0.6664        | 2.0   | 386  | 0.6632          | 0.6023    | 0.9989 | 0.7515 |
-| 0.6599        | 3.0   | 579  | 0.6578          | 0.6085    | 0.9763 | 0.7497 |
-| 0.6543        | 4.0   | 772  | 0.6553          | 0.6160    | 0.9558 | 0.7492 |
-| 0.6505        | 5.0   | 965  | 0.6516          | 0.6387    | 0.8858 | 0.7422 |
-| 0.6481        | 6.0   | 1158 | 0.6512          | 0.6454    | 0.8728 | 0.7421 |
-| 0.6457        | 7.0   | 1351 | 0.6505          | 0.6460    | 0.8631 | 0.7389 |
+| 0.6843        | 1.0   | 193  | 0.6676          | 0.6044    | 0.9860 | 0.7494 |
+| 0.6629        | 2.0   | 386  | 0.6607          | 0.6098    | 0.9752 | 0.7504 |
+| 0.6563        | 3.0   | 579  | 0.6551          | 0.6186    | 0.9386 | 0.7457 |
+| 0.6515        | 4.0   | 772  | 0.6532          | 0.6281    | 0.9116 | 0.7437 |
+| 0.649         | 5.0   | 965  | 0.6516          | 0.6445    | 0.8578 | 0.7360 |
+| 0.6444        | 6.0   | 1158 | 0.6512          | 0.6479    | 0.8567 | 0.7378 |
+| 0.6434        | 7.0   | 1351 | 0.6511          | 0.6551    | 0.8556 | 0.7421 |
 
 
 ### Framework versions

all_results.json

@@ -1,17 +1,17 @@
 {
     "epoch": 7.0,
-    "eval_f1": 0.7515200648561006,
-    "eval_loss": 0.6631780862808228,
-    "eval_precision": 0.6023391812865497,
-    "eval_recall": 0.9989224137931034,
-    "eval_runtime": 8.0804,
-    "eval_samples_per_second": 190.957,
-    "eval_steps_per_second": 3.094,
-    "test_f1": 0.7532362459546925,
-    "test_loss": 0.6597655415534973,
-    "test_precision": 0.6049382716049383,
-    "test_recall": 0.9978563772775991,
-    "test_runtime": 8.1171,
-    "test_samples_per_second": 190.216,
-    "test_steps_per_second": 3.08
+    "eval_f1": 0.7504145936981758,
+    "eval_loss": 0.6606962084770203,
+    "eval_precision": 0.6098382749326146,
+    "eval_recall": 0.9752155172413793,
+    "eval_runtime": 8.855,
+    "eval_samples_per_second": 174.253,
+    "eval_steps_per_second": 2.823,
+    "test_f1": 0.754950495049505,
+    "test_loss": 0.6538258790969849,
+    "test_precision": 0.613682092555332,
+    "test_recall": 0.9807073954983923,
+    "test_runtime": 8.5906,
+    "test_samples_per_second": 179.73,
+    "test_steps_per_second": 2.91
 }

eval_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 7.0,
-    "eval_f1": 0.7515200648561006,
-    "eval_loss": 0.6631780862808228,
-    "eval_precision": 0.6023391812865497,
-    "eval_recall": 0.9989224137931034,
-    "eval_runtime": 8.0804,
-    "eval_samples_per_second": 190.957,
-    "eval_steps_per_second": 3.094
+    "eval_f1": 0.7504145936981758,
+    "eval_loss": 0.6606962084770203,
+    "eval_precision": 0.6098382749326146,
+    "eval_recall": 0.9752155172413793,
+    "eval_runtime": 8.855,
+    "eval_samples_per_second": 174.253,
+    "eval_steps_per_second": 2.823
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c0e0d96845815e62f9ed9e75a509393c5cf6a7458ff0397a70fc0c17e9c55055
+oid sha256:18036c1c4a52e015323cbb4f163e7797ded19b381703c8ddfe5251f508b2983b
 size 243126200

test_results.json

@@ -1,9 +1,9 @@
 {
-    "test_f1": 0.7532362459546925,
-    "test_loss": 0.6597655415534973,
-    "test_precision": 0.6049382716049383,
-    "test_recall": 0.9978563772775991,
-    "test_runtime": 8.1171,
-    "test_samples_per_second": 190.216,
-    "test_steps_per_second": 3.08
+    "test_f1": 0.754950495049505,
+    "test_loss": 0.6538258790969849,
+    "test_precision": 0.613682092555332,
+    "test_recall": 0.9807073954983923,
+    "test_runtime": 8.5906,
+    "test_samples_per_second": 179.73,
+    "test_steps_per_second": 2.91
 }