Model save

README.md

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+---
+license: mit
+base_model: facebook/mbart-large-50
+tags:
+- generated_from_trainer
+model-index:
+- name: dataset-1700
+  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. -->
+
+# dataset-1700
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2549
+- Gen Len: 16.3667
+- Rouge-1: 36.0238
+- Rouge-2: 18.9307
+- Rouge-l: 35.0228
+
+## 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: 0.0001
+- 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: polynomial
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 50
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Gen Len | Rouge-1 | Rouge-2 | Rouge-l |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
+| No log        | 1.0   | 214  | 3.8357          | 37.1467 | 26.95   | 11.9204 | 25.5728 |
+| No log        | 2.0   | 428  | 3.4294          | 32.64   | 28.5045 | 14.5187 | 26.6976 |
+| No log        | 3.0   | 642  | 3.3246          | 17.4933 | 27.9551 | 14.0601 | 26.9049 |
+| No log        | 4.0   | 856  | 3.2771          | 15.4    | 28.2521 | 13.6616 | 27.9303 |
+| No log        | 5.0   | 1070 | 3.1305          | 20.2333 | 34.3539 | 18.0221 | 33.5067 |
+| No log        | 6.0   | 1284 | 3.0782          | 16.9267 | 32.743  | 16.171  | 32.2637 |
+| No log        | 7.0   | 1498 | 3.0556          | 17.1    | 33.9666 | 17.3623 | 33.5188 |
+| No log        | 8.0   | 1712 | 3.0948          | 16.1067 | 35.7842 | 19.0957 | 35.1125 |
+| No log        | 9.0   | 1926 | 3.1146          | 16.3133 | 33.9124 | 18.8415 | 33.2149 |
+| No log        | 10.0  | 2140 | 3.1464          | 15.8467 | 35.1778 | 18.874  | 34.3936 |
+| No log        | 11.0  | 2354 | 3.1760          | 16.4467 | 35.6329 | 19.0674 | 34.9167 |
+| No log        | 12.0  | 2568 | 3.2549          | 16.3667 | 36.0238 | 18.9307 | 35.0228 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.15.2

mbart-large-50_par_bn_rf_16_dinamina_1700/adapter_config.json

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+{
+  "config": {
+    "adapter_residual_before_ln": false,
+    "cross_adapter": false,
+    "factorized_phm_W": true,
+    "factorized_phm_rule": false,
+    "hypercomplex_nonlinearity": "glorot-uniform",
+    "init_weights": "mam_adapter",
+    "inv_adapter": null,
+    "inv_adapter_reduction_factor": null,
+    "is_parallel": true,
+    "learn_phm": true,
+    "leave_out": [],
+    "ln_after": false,
+    "ln_before": false,
+    "mh_adapter": false,
+    "non_linearity": "relu",
+    "original_ln_after": true,
+    "original_ln_before": false,
+    "output_adapter": true,
+    "phm_bias": true,
+    "phm_c_init": "normal",
+    "phm_dim": 4,
+    "phm_init_range": 0.0001,
+    "phm_layer": false,
+    "phm_rank": 1,
+    "reduction_factor": 16,
+    "residual_before_ln": true,
+    "scaling": 4.0,
+    "shared_W_phm": false,
+    "shared_phm_rule": true,
+    "use_gating": false
+  },
+  "config_id": "df0cbc77437caacb",
+  "hidden_size": 1024,
+  "model_class": "MBartForConditionalGeneration",
+  "model_name": "facebook/mbart-large-50",
+  "model_type": "mbart",
+  "name": "mbart-large-50_par_bn_rf_16_dinamina_1700",
+  "version": "0.1.1"
+}

mbart-large-50_par_bn_rf_16_dinamina_1700/head_config.json

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+{
+  "config": null,
+  "hidden_size": 1024,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "model_class": "MBartForConditionalGeneration",
+  "model_name": "facebook/mbart-large-50",
+  "model_type": "mbart",
+  "name": null,
+  "num_labels": 3,
+  "version": "0.1.1"
+}

mbart-large-50_par_bn_rf_16_dinamina_1700/pytorch_adapter.bin

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mbart-large-50_par_bn_rf_16_dinamina_1700/pytorch_model_head.bin

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