End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: albert/albert-xlarge-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: b0ef99bd633b80a07ed4b29b0a2c5d91
+  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. -->
+
+# b0ef99bd633b80a07ed4b29b0a2c5d91
+
+This model is a fine-tuned version of [albert/albert-xlarge-v2](https://huggingface.co/albert/albert-xlarge-v2) on the dim/tldr_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4613
+- Data Size: 1.0
+- Epoch Runtime: 25.1440
+- Accuracy: 0.2756
+- F1 Macro: 0.0864
+- Rouge1: 0.2752
+- Rouge2: 0.0
+- Rougel: 0.2749
+- Rougelsum: 0.2756
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|:------:|:------:|:------:|:---------:|
+| No log        | 0     | 0    | 1.7195          | 0         | 2.3979        | 0.2173   | 0.0714   | 0.2166 | 0.0    | 0.2173 | 0.2173    |
+| No log        | 1     | 178  | 1.6290          | 0.0078    | 3.4422        | 0.2472   | 0.0793   | 0.2472 | 0.0    | 0.2472 | 0.2464    |
+| No log        | 2     | 356  | 1.6889          | 0.0156    | 2.8855        | 0.0987   | 0.0825   | 0.0987 | 0.0    | 0.0987 | 0.0987    |
+| No log        | 3     | 534  | 1.4780          | 0.0312    | 3.2746        | 0.2479   | 0.1712   | 0.2479 | 0.0    | 0.2472 | 0.2479    |
+| No log        | 4     | 712  | 1.5387          | 0.0625    | 4.0645        | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| No log        | 5     | 890  | 1.4859          | 0.125     | 5.4759        | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 0.0972        | 6     | 1068 | 1.4760          | 0.25      | 8.3402        | 0.2173   | 0.0714   | 0.2166 | 0.0    | 0.2173 | 0.2173    |
+| 1.461         | 7     | 1246 | 1.4646          | 0.5       | 13.7672       | 0.2486   | 0.0796   | 0.2486 | 0.0    | 0.2486 | 0.2479    |
+| 1.4427        | 8.0   | 1424 | 1.4623          | 1.0       | 25.4379       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4515        | 9.0   | 1602 | 1.4538          | 1.0       | 25.2654       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4354        | 10.0  | 1780 | 1.4681          | 1.0       | 25.2701       | 0.2486   | 0.0796   | 0.2486 | 0.0    | 0.2486 | 0.2479    |
+| 1.4487        | 11.0  | 1958 | 1.4548          | 1.0       | 25.2500       | 0.2401   | 0.0774   | 0.2401 | 0.0    | 0.2408 | 0.2393    |
+| 1.4558        | 12.0  | 2136 | 1.4588          | 1.0       | 25.2566       | 0.2401   | 0.0774   | 0.2401 | 0.0    | 0.2408 | 0.2393    |
+| 1.4562        | 13.0  | 2314 | 1.4537          | 1.0       | 25.1478       | 0.2706   | 0.1402   | 0.2699 | 0.0    | 0.2692 | 0.2706    |
+| 1.4467        | 14.0  | 2492 | 1.4537          | 1.0       | 25.1871       | 0.2173   | 0.0714   | 0.2166 | 0.0    | 0.2173 | 0.2173    |
+| 1.4535        | 15.0  | 2670 | 1.4568          | 1.0       | 25.1471       | 0.2486   | 0.0796   | 0.2486 | 0.0    | 0.2486 | 0.2479    |
+| 1.4578        | 16.0  | 2848 | 1.4544          | 1.0       | 25.1672       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4413        | 17.0  | 3026 | 1.4510          | 1.0       | 25.2195       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4454        | 18.0  | 3204 | 1.4521          | 1.0       | 25.1672       | 0.2486   | 0.0796   | 0.2486 | 0.0    | 0.2486 | 0.2479    |
+| 1.4468        | 19.0  | 3382 | 1.4508          | 1.0       | 25.0699       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4568        | 20.0  | 3560 | 1.4548          | 1.0       | 25.2263       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4404        | 21.0  | 3738 | 1.4542          | 1.0       | 25.2249       | 0.2401   | 0.0774   | 0.2401 | 0.0    | 0.2408 | 0.2393    |
+| 1.4448        | 22.0  | 3916 | 1.4589          | 1.0       | 25.3352       | 0.2486   | 0.0796   | 0.2486 | 0.0    | 0.2486 | 0.2479    |
+| 1.4398        | 23.0  | 4094 | 1.4506          | 1.0       | 25.2263       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4484        | 24.0  | 4272 | 1.4517          | 1.0       | 25.2167       | 0.2486   | 0.0796   | 0.2486 | 0.0    | 0.2486 | 0.2479    |
+| 1.4381        | 25.0  | 4450 | 1.4647          | 1.0       | 25.2744       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4482        | 26.0  | 4628 | 1.4524          | 1.0       | 25.5011       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+| 1.4197        | 27.0  | 4806 | 1.4613          | 1.0       | 25.1440       | 0.2756   | 0.0864   | 0.2752 | 0.0    | 0.2749 | 0.2756    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.1

config.json

@@ -0,0 +1,47 @@
+{
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "dtype": "float32",
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 2048,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 8192,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 16,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 24,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

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+size 234943900

special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "[SEP]",
+  "unk_token": "<unk>"
+}

spiece.model

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+oid sha256:fefb02b667a6c5c2fe27602d28e5fb3428f66ab89c7d6f388e7c8d44a02d0336
+size 760289

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "keep_accents": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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