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 the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0235
-- Rouge1: 37.4235
-- Rouge2: 24.6465
-- Rougel: 36.9236
-- Rougelsum: 36.957
+- Rouge1: 37.4861
+- Rouge2: 24.6089
+- Rougel: 36.9311
+- Rougelsum: 37.0089
 - Gen Len: 18.2196
 - Bleu: 6.4559
 - Corpus Bleu: 1.7137
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len | Bleu   | Corpus Bleu |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:------:|:-----------:|
-| 1.591         | 1.0   | 836  | 1.2587          | 36.3874 | 23.5824 | 35.9132 | 35.9525   | 18.2100 | 5.6488 | 1.6728      |
-| 1.2642        | 2.0   | 1672 | 1.1112          | 37.0545 | 24.1896 | 36.5381 | 36.5618   | 18.2148 | 5.7688 | 1.7062      |
-| 1.1999        | 3.0   | 2508 | 1.0687          | 37.5054 | 24.8226 | 36.9971 | 37.0054   | 18.2148 | 6.5724 | 1.75        |
-| 1.1533        | 4.0   | 3344 | 1.0338          | 37.4018 | 24.6413 | 36.9081 | 36.9161   | 18.2196 | 6.4559 | 1.7049      |
-| 1.1067        | 5.0   | 4180 | 1.0235          | 37.4235 | 24.6465 | 36.9236 | 36.957    | 18.2196 | 6.4559 | 1.7137      |
+| 1.591         | 1.0   | 836  | 1.2587          | 36.4802 | 23.5099 | 35.8961 | 35.9879   | 18.2100 | 5.6488 | 1.6728      |
+| 1.2642        | 2.0   | 1672 | 1.1112          | 37.0889 | 24.1259 | 36.5258 | 36.6133   | 18.2148 | 5.7688 | 1.7062      |
+| 1.1999        | 3.0   | 2508 | 1.0687          | 37.5481 | 24.737  | 36.995  | 37.0752   | 18.2148 | 6.5724 | 1.75        |
+| 1.1533        | 4.0   | 3344 | 1.0338          | 37.4724 | 24.5806 | 36.8996 | 36.9784   | 18.2196 | 6.4559 | 1.7049      |
+| 1.1067        | 5.0   | 4180 | 1.0235          | 37.4861 | 24.6089 | 36.9311 | 37.0089   | 18.2196 | 6.4559 | 1.7137      |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
+- Transformers 4.35.1
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.6
+- Datasets 2.14.7
 - Tokenizers 0.14.1

config.json

@@ -56,7 +56,7 @@
   },
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
+  "transformers_version": "4.35.1",
   "use_cache": true,
   "vocab_size": 32128
 }

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.35.0"
+  "transformers_version": "4.35.1"
 }

logs/events.out.tfevents.1700048305.4baaa5991ac1.2106.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b823c858b7b0a419c80cff95ca5f007d12199e26d47533cb4b7110007f94152
+size 10014

logs/events.out.tfevents.1700049726.4baaa5991ac1.2106.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08504d604cba61e8412dc583c54e59cd2435e9a9b0d1f0bfc1c13c50ded65b2e
+size 716