Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/bart-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- precision
+- recall
+- f1
+model-index:
+- name: LLM_Teached_Bart_From_Scratch
+  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. -->
+
+# LLM_Teached_Bart_From_Scratch
+
+This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4999
+- Rouge1: 0.4331
+- Rouge2: 0.2164
+- Rougel: 0.3724
+- Rougelsum: 0.3725
+- Gen Len: 19.9255
+- Precision: 0.9125
+- Recall: 0.8885
+- F1: 0.9002
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 390  | 1.5709          | 0.4119 | 0.2002 | 0.3529 | 0.3527    | 19.9709 | 0.9093    | 0.8846 | 0.8966 |
+| 1.8155        | 2.0   | 781  | 1.5361          | 0.4331 | 0.2157 | 0.3717 | 0.3717    | 19.9185 | 0.9123    | 0.8889 | 0.9003 |
+| 1.5875        | 3.0   | 1172 | 1.5030          | 0.4263 | 0.2129 | 0.3671 | 0.3673    | 19.9545 | 0.9117    | 0.8871 | 0.899  |
+| 1.4978        | 3.99  | 1560 | 1.4999          | 0.4331 | 0.2164 | 0.3724 | 0.3725    | 19.9255 | 0.9125    | 0.8885 | 0.9002 |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "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"
+}

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