Logeshkc/bart-large-cnn-newsroom-500k

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: facebook/bart-large-cnn
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: results
   results: []
@@ -16,14 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # results
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 5.8188
-- Model Preparation Time: 0.0102
-- Rouge1: 0.1165
-- Rouge2: 0.0204
-- Rougel: 0.0745
-- Rougelsum: 0.0905
-- Gen Len: 77.5
 
 ## Model description
 
@@ -59,6 +49,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.44.0
-- Pytorch 2.4.0+cpu
+- Pytorch 2.4.0
 - Datasets 2.21.0
 - Tokenizers 0.19.1

generation_config.json

@@ -1,4 +1,5 @@
 {
+  "_from_model_config": true,
   "bos_token_id": 0,
   "decoder_start_token_id": 2,
   "early_stopping": true,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:83556a172e21c705e89ef3ecd7f6db6a18a8eefa3988e749ce383681c1fcd799
+oid sha256:21a13df043faa350aedcefafe2a798095ace632141e92fe68ddd91f0390a628f
 size 1625422896

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9838c36d95e282bb3fa5411e184df2e7aeb02fe7bc6fbd6bb4ee03b3af81e251
+oid sha256:8168d65d45d075dfef9a047d2349597a974a85d6fc964e4e66c33e60e70f37a2
 size 5304