End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: t5-small
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: t5-small-finetuned-xsum
   results: []
@@ -14,6 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-xsum
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4677
+- Rouge1: 20.3261
+- Rouge2: 6.7795
+- Rougel: 15.5884
+- Rougelsum: 18.5485
+- Gen Len: 18.7778
 
 ## Model description
 
@@ -38,19 +47,28 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 45   | 3.7033          | 14.0942 | 3.1278 | 10.5482 | 12.5177   | 18.8889 |
+| No log        | 1.0   | 45   | 3.3221          | 14.6698 | 3.0124 | 10.6423 | 12.9132   | 18.9778 |
+| No log        | 2.0   | 90   | 2.9680          | 15.3673 | 3.86   | 11.7066 | 13.6565   | 18.8778 |
+| No log        | 3.0   | 135  | 2.8031          | 16.8536 | 4.6418 | 12.7707 | 15.2338   | 18.7889 |
+| No log        | 4.0   | 180  | 2.6954          | 17.8659 | 5.3146 | 13.6729 | 16.3449   | 18.7889 |
+| No log        | 5.0   | 225  | 2.6161          | 18.7225 | 5.6819 | 14.2031 | 16.9795   | 18.7778 |
+| No log        | 6.0   | 270  | 2.5592          | 19.7238 | 6.2295 | 15.0955 | 17.9351   | 18.7778 |
+| No log        | 7.0   | 315  | 2.5183          | 20.0288 | 6.8336 | 15.4154 | 18.5299   | 18.7778 |
+| No log        | 8.0   | 360  | 2.4895          | 20.3239 | 6.6193 | 15.5755 | 18.5865   | 18.7778 |
+| No log        | 9.0   | 405  | 2.4735          | 20.4121 | 6.8302 | 15.6246 | 18.5777   | 18.7778 |
+| No log        | 10.0  | 450  | 2.4677          | 20.3261 | 6.7795 | 15.5884 | 18.5485   | 18.7778 |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
-- Pytorch 2.2.1+cu121
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -55,7 +55,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.40.1",
+  "transformers_version": "4.41.1",
   "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": "4.40.1"
+  "transformers_version": "4.41.1"
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 242041896

runs/May31_07-27-30_4b94b27b3ee8/events.out.tfevents.1717140452.4b94b27b3ee8.6457.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 11396

training_args.bin

@@ -1,3 +1,3 @@
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-size 5176
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+size 5240