Model save

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+base_model: allenai/led-base-16384
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: led-base-16384-finetuned-cnn_dailymail
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# led-base-16384-finetuned-cnn_dailymail
+
+This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0670
+- Rouge1: 26.5966
+- Rouge2: 13.4937
+- Rougel: 22.1204
+- Rougelsum: 25.0057
+- Bleu 1: 4.81
+- Bleu 2: 3.2976
+- Bleu 3: 2.4273
+- Meteor: 13.4385
+- Lungime rezumat: 12.5033
+- Lungime original: 48.674
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor  | Lungime rezumat | Lungime original |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:---------------:|:----------------:|
+| 1.1488        | 1.0   | 7165  | 1.0638          | 26.6263 | 13.2802 | 22.0654 | 25.0416   | 4.7464 | 3.1681 | 2.2958 | 13.3027 | 12.5003         | 48.674           |
+| 0.9202        | 2.0   | 14330 | 1.0475          | 26.5843 | 13.4795 | 22.083  | 25.0206   | 4.7096 | 3.1931 | 2.3493 | 13.3342 | 12.4533         | 48.674           |
+| 0.7778        | 3.0   | 21495 | 1.0465          | 26.5754 | 13.4585 | 22.0522 | 24.9943   | 4.729  | 3.2152 | 2.3491 | 13.3759 | 12.455          | 48.674           |
+| 0.6729        | 4.0   | 28660 | 1.0670          | 26.5966 | 13.4937 | 22.1204 | 25.0057   | 4.81   | 3.2976 | 2.4273 | 13.4385 | 12.5033         | 48.674           |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.40.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:39a166631c3af6dd7b3631fc80731a8497bb277581537fb83a8b86af6d4c87d5
+oid sha256:1d4f0327b3b9a7bedd62f1256b082d2d7b74bbf76081a211817bd2ac8e5239cb
 size 647614116

runs/May09_00-40-26_DESKTOP-I570M0U/events.out.tfevents.1715204441.DESKTOP-I570M0U.861.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6e7abf76f3a3ee158fc4d6964a8f153880a90f389215627522f2789013c38330
-size 8428
+oid sha256:0523103665065b1eebe10e5b24895fe1dcc788e6ccff6f89eecaaa10ec3d1a3b
+size 9811