End of training

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.6709
-- Rouge1: 0.2831
-- Rouge2: 0.1309
-- Rougel: 0.2317
-- Rougelsum: 0.2957
+- Loss: 3.1534
+- Rouge1: 0.3153
+- Rouge2: 0.1594
+- Rougel: 0.2511
+- Rougelsum: 0.3397
 
 ## Model description
 
@@ -53,11 +53,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 4.5352        | 3.2   | 100  | 3.8157          | 0.2284 | 0.0813 | 0.1921 | 0.2320    |
-| 3.6778        | 6.4   | 200  | 3.6369          | 0.2600 | 0.1107 | 0.2101 | 0.2717    |
-| 3.3848        | 9.6   | 300  | 3.6709          | 0.2831 | 0.1309 | 0.2317 | 0.2957    |
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 4.3806        | 1.0667 | 100  | 3.4709          | 0.2568 | 0.1258 | 0.2214 | 0.2662    |
+| 3.7757        | 2.1333 | 200  | 3.2899          | 0.2759 | 0.1388 | 0.2381 | 0.2946    |
+| 3.5195        | 3.2    | 300  | 3.1951          | 0.2951 | 0.1523 | 0.2466 | 0.3217    |
+| 3.4319        | 4.2667 | 400  | 3.1715          | 0.2813 | 0.1323 | 0.2331 | 0.3011    |
+| 3.2402        | 5.3333 | 500  | 3.1704          | 0.3058 | 0.1548 | 0.2513 | 0.3366    |
+| 3.2313        | 6.4    | 600  | 3.1657          | 0.3077 | 0.1534 | 0.2461 | 0.3335    |
+| 3.1444        | 7.4667 | 700  | 3.1719          | 0.2957 | 0.1453 | 0.2378 | 0.3191    |
+| 3.116         | 8.5333 | 800  | 3.1639          | 0.3144 | 0.1540 | 0.2501 | 0.3453    |
+| 2.9937        | 9.6    | 900  | 3.1534          | 0.3153 | 0.1594 | 0.2511 | 0.3397    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4d919caaa34e490b6ef7a173e7bad7ce962b47418fbf2c18c6f5540d16efd0a2
+oid sha256:1a7e521b132cdb5383e3c45b64a4d9d04f7a6a074d68e445d1379c132414022b
 size 1200729512

runs/Jul02_15-30-44_85ac29d8feb8/events.out.tfevents.1719934295.85ac29d8feb8.639.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5447bc58692bea716b875807dc56ba7b89340d39fa360c1a8bd5c534e8e1f0a9
+size 5615

runs/Jul02_15-52-10_85ac29d8feb8/events.out.tfevents.1719935535.85ac29d8feb8.4236.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57d0347b65c311ac9512e5b5ebde5f0072972a09739d27feaba8c682fb29bfed
+size 29387

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2dab81d38cf89a6cace5098b3bf7559e04acbdbd749368398ba1f3805c12297
+oid sha256:223343a44c2bdb1da099060c0ac21ef55284212cd29eca6744227e5bf707924b
 size 5240