End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: BART-Large-psychological-dataset
+  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. -->
+
+# BART-Large-psychological-dataset
+
+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: 1.1549
+- Rouge1: 0.6621
+- Rouge2: 0.4488
+- Rougel: 0.5658
+- Rougelsum: 0.5656
+- Gen Len: 80.6204
+
+## 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: 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: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 274  | 0.8651          | 0.6252 | 0.3953 | 0.5206 | 0.5206    | 86.9982 |
+| 0.7484        | 2.0   | 548  | 0.8332          | 0.648  | 0.4301 | 0.554  | 0.5541    | 79.885  |
+| 0.7484        | 3.0   | 822  | 0.8943          | 0.6498 | 0.4335 | 0.5514 | 0.5518    | 82.635  |
+| 0.3207        | 4.0   | 1096 | 0.9653          | 0.6571 | 0.4422 | 0.5607 | 0.5609    | 79.9708 |
+| 0.3207        | 5.0   | 1370 | 1.0514          | 0.6582 | 0.4445 | 0.5637 | 0.5639    | 79.8047 |
+| 0.1557        | 6.0   | 1644 | 1.0752          | 0.6607 | 0.4476 | 0.5659 | 0.5657    | 79.6058 |
+| 0.1557        | 7.0   | 1918 | 1.1302          | 0.6588 | 0.4443 | 0.5626 | 0.5626    | 80.5821 |
+| 0.0845        | 8.0   | 2192 | 1.1549          | 0.6621 | 0.4488 | 0.5658 | 0.5656    | 80.6204 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "min_length": 56,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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runs/Sep23_03-13-31_b59ed4742c9a/events.out.tfevents.1727061212.b59ed4742c9a.1206.0

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