End of training

README.md

@@ -19,7 +19,7 @@ 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: 0.6057
+- Loss: 0.6076
 - Precision: 0.7148
 - Recall: 1.0
 - F1: 0.8337
@@ -54,12 +54,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| 0.6146        | 1.0   | 193  | 0.6057          | 0.7148    | 1.0    | 0.8337 |
-| 0.606         | 2.0   | 386  | 0.5984          | 0.7148    | 1.0    | 0.8337 |
-| 0.5965        | 3.0   | 579  | 0.5937          | 0.7148    | 1.0    | 0.8337 |
-| 0.5913        | 4.0   | 772  | 0.5934          | 0.7154    | 0.9982 | 0.8335 |
-| 0.5885        | 5.0   | 965  | 0.5902          | 0.7196    | 0.9773 | 0.8289 |
-| 0.5871        | 6.0   | 1158 | 0.5891          | 0.7213    | 0.9737 | 0.8287 |
+| 0.6525        | 1.0   | 193  | 0.6076          | 0.7148    | 1.0    | 0.8337 |
+| 0.6075        | 2.0   | 386  | 0.5999          | 0.7148    | 1.0    | 0.8337 |
+| 0.598         | 3.0   | 579  | 0.5968          | 0.7148    | 1.0    | 0.8337 |
+| 0.5924        | 4.0   | 772  | 0.5976          | 0.7148    | 1.0    | 0.8337 |
+| 0.5885        | 5.0   | 965  | 0.5934          | 0.7169    | 0.9918 | 0.8323 |
+| 0.589         | 6.0   | 1158 | 0.5925          | 0.7178    | 0.9891 | 0.8319 |
 
 
 ### Framework versions

all_results.json

@@ -1,17 +1,17 @@
 {
     "epoch": 6.0,
     "eval_f1": 0.8337112622826909,
-    "eval_loss": 0.6056512594223022,
+    "eval_loss": 0.6075630784034729,
     "eval_precision": 0.7148412184057031,
     "eval_recall": 1.0,
-    "eval_runtime": 8.1044,
-    "eval_samples_per_second": 190.392,
-    "eval_steps_per_second": 3.085,
+    "eval_runtime": 8.6046,
+    "eval_samples_per_second": 179.322,
+    "eval_steps_per_second": 2.905,
     "test_f1": 0.8263017863930064,
-    "test_loss": 0.6102724075317383,
+    "test_loss": 0.6143549084663391,
     "test_precision": 0.7040155440414507,
     "test_recall": 1.0,
-    "test_runtime": 8.1233,
-    "test_samples_per_second": 190.07,
-    "test_steps_per_second": 3.078
+    "test_runtime": 8.632,
+    "test_samples_per_second": 178.87,
+    "test_steps_per_second": 2.896
 }

eval_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 6.0,
     "eval_f1": 0.8337112622826909,
-    "eval_loss": 0.6056512594223022,
+    "eval_loss": 0.6075630784034729,
     "eval_precision": 0.7148412184057031,
     "eval_recall": 1.0,
-    "eval_runtime": 8.1044,
-    "eval_samples_per_second": 190.392,
-    "eval_steps_per_second": 3.085
+    "eval_runtime": 8.6046,
+    "eval_samples_per_second": 179.322,
+    "eval_steps_per_second": 2.905
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54e067142fcb145ba75b7e441b9254377390c4b7977b10b7000b258e79d74703
+oid sha256:2edcc1e969fa575849dc191b685fe6bd6c1fe3c7313d8ac9a1a7783e1dffa305
 size 243126200

test_results.json

@@ -1,9 +1,9 @@
 {
     "test_f1": 0.8263017863930064,
-    "test_loss": 0.6102724075317383,
+    "test_loss": 0.6143549084663391,
     "test_precision": 0.7040155440414507,
     "test_recall": 1.0,
-    "test_runtime": 8.1233,
-    "test_samples_per_second": 190.07,
-    "test_steps_per_second": 3.078
+    "test_runtime": 8.632,
+    "test_samples_per_second": 178.87,
+    "test_steps_per_second": 2.896
 }