End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Accuracy: 0.2353
-- F1: 0.0
-- Precision: 0.0
-- Recall: 0.0
+- Loss: 0.6142
+- Accuracy: 0.7647
+- F1: 0.8667
+- Precision: 0.7647
+- Recall: 1.0
 
 ## Model description
 
@@ -54,22 +54,22 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
-| 0.0           | 1.0   | 77   | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 2.0   | 154  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 3.0   | 231  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 4.0   | 308  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 5.0   | 385  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 6.0   | 462  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 7.0   | 539  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 8.0   | 616  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
-| 0.0           | 9.0   | 693  | nan             | 0.3      | 0.0 | 0.0       | 0.0    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6282        | 1.0   | 77   | 0.6453          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.6112        | 2.0   | 154  | 0.7555          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.2056        | 3.0   | 231  | 1.2510          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.8952        | 4.0   | 308  | 1.6322          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 1.1637        | 5.0   | 385  | 1.6961          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 1.1561        | 6.0   | 462  | 1.8207          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.4773        | 7.0   | 539  | 1.8147          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.0086        | 8.0   | 616  | 1.8578          | 0.7      | 0.8235 | 0.7       | 1.0    |
+| 0.7983        | 9.0   | 693  | 1.7090          | 0.7      | 0.8235 | 0.7       | 1.0    |
 
 
 ### Framework versions
 
-- Transformers 4.48.2
+- Transformers 4.48.3
 - Pytorch 2.3.0+cu121
 - Datasets 3.2.0
 - Tokenizers 0.21.0

config.json

@@ -40,7 +40,7 @@
   "relative_attention_num_buckets": 32,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.48.2",
+  "transformers_version": "4.48.3",
   "use_cache": true,
   "vocab_size": 32128
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fb887e2114073ab8d80fb1d613f79d99e0c4a695e1fa69c907987c1b79aa0df0
+oid sha256:2543252013b2f42230735b9e0917faf4d18e0225def038bb2486eca45a85162a
 size 1091456000