Model save

README.md

@@ -0,0 +1,100 @@
+---
+license: apache-2.0
+base_model: facebook/bart-large
+tags:
+- generated_from_trainer
+datasets:
+- reddit_tifu
+metrics:
+- rouge
+- precision
+- recall
+- f1
+model-index:
+- name: Bart_reddit_tifu
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: reddit_tifu
+      type: reddit_tifu
+      config: long
+      split: train
+      args: long
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.2709
+    - name: Precision
+      type: precision
+      value: 0.8768
+    - name: Recall
+      type: recall
+      value: 0.8648
+    - name: F1
+      type: f1
+      value: 0.8705
+---
+
+<!-- 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. -->
+
+# Bart_reddit_tifu
+
+This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the reddit_tifu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5035
+- Rouge1: 0.2709
+- Rouge2: 0.0948
+- Rougel: 0.2244
+- Rougelsum: 0.2244
+- Gen Len: 19.3555
+- Precision: 0.8768
+- Recall: 0.8648
+- F1: 0.8705
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:---------:|:------:|:------:|
+| 2.6968        | 1.0   | 2370 | 2.5385          | 0.2634 | 0.0907 | 0.218  | 0.2182    | 19.4438 | 0.8766    | 0.8641 | 0.8701 |
+| 2.4746        | 2.0   | 4741 | 2.5077          | 0.273  | 0.0941 | 0.2238 | 0.2239    | 19.2572 | 0.8774    | 0.8655 | 0.8712 |
+| 2.3066        | 3.0   | 7111 | 2.5012          | 0.2671 | 0.0936 | 0.221  | 0.2211    | 19.3071 | 0.8756    | 0.864  | 0.8696 |
+| 2.2041        | 4.0   | 9480 | 2.5035          | 0.2709 | 0.0948 | 0.2244 | 0.2244    | 19.3555 | 0.8768    | 0.8648 | 0.8705 |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.15.0

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.36.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b50c516a8b437328403f9700c6fea9371ece5ba72fd66f80d3ceed9212a6521
+oid sha256:7470abb95abf11f62354cf5efa63ae56c083419a1e0bb16bef2c4e3e27ec53df
 size 1625426996

runs/Feb03_17-57-54_o8amirctr1706761897220-scx9w/events.out.tfevents.1706954280.o8amirctr1706761897220-scx9w.31420.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ea6a0edcb12dade19f82da571d32d87e9f75beed19a655dc5f379242f0676462
-size 10216
+oid sha256:1fe643f1133e632761bf50542998ace516d377ea84a7a74bd175ceeec42264f5
+size 11401