End of training

README.md

@@ -0,0 +1,67 @@
+---
+base_model: microsoft/prophetnet-large-uncased
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: prophetnet-large-uncased-samsum
+  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. -->
+
+# prophetnet-large-uncased-samsum
+
+This model is a fine-tuned version of [microsoft/prophetnet-large-uncased](https://huggingface.co/microsoft/prophetnet-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8806
+- Rouge1: 42.7998
+- Rouge2: 20.6028
+- Rougel: 32.7447
+- Rougelsum: 38.6683
+- Gen Len: 46.5763
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.2102        | 1.0   | 1842 | 1.9800          | 46.2865 | 22.7077 | 36.6175 | 42.7446   | 37.8791 |
+| 1.6648        | 2.0   | 3684 | 1.8943          | 43.8689 | 21.5646 | 34.0359 | 39.9618   | 44.8193 |
+| 1.2354        | 3.0   | 5526 | 1.8806          | 42.7998 | 20.6028 | 32.7447 | 38.6683   | 46.5763 |
+| 0.9176        | 4.0   | 7368 | 1.9474          | 43.5931 | 20.9008 | 33.236  | 39.1182   | 46.1087 |
+| 0.6827        | 5.0   | 9210 | 2.0220          | 42.9591 | 20.2499 | 32.94   | 38.5586   | 46.9658 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

config.json

@@ -0,0 +1,64 @@
+{
+  "_name_or_path": "microsoft/prophetnet-large-uncased",
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_cross_attention": true,
+  "architectures": [
+    "ProphetNetForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 102,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_max_position_embeddings": 514,
+  "decoder_start_token_id": 102,
+  "disable_ngram_loss": false,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_max_position_embeddings": 513,
+  "eos_token_id": 102,
+  "eps": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "max_position_embeddings": 512,
+  "model_type": "prophetnet",
+  "ngram": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "num_buckets": 32,
+  "num_decoder_attention_heads": 16,
+  "num_decoder_layers": 12,
+  "num_encoder_attention_heads": 16,
+  "num_encoder_layers": 12,
+  "output_past": false,
+  "pad_token_id": 0,
+  "prefix": " ",
+  "relative_max_distance": 128,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 30522
+}

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 102,
+  "decoder_start_token_id": 102,
+  "early_stopping": true,
+  "eos_token_id": 102,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.2"
+}

logs/events.out.tfevents.1703753517.1b2e4b41fe0c.1554.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d1f242ef736e299309f85a9378c9a834bb8992de9cb638f5bbd9cb5c768e4f5
+size 11219

logs/events.out.tfevents.1703764393.1b2e4b41fe0c.1554.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ddbdbca2907906a2f707f3ba609c1ae3f5002431f4bd14153cb99851705cfbc
+size 613

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a868ca89a716659b436ec68351c99f9f1c67a0942175fe2068466602e26f1c1
+size 1565355112

special_tokens_map.json

@@ -0,0 +1,6 @@
+{
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,49 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "ProphetNetTokenizer",
+  "unk_token": "[UNK]",
+  "x_sep_token": "[X_SEP]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc176f96da6b56d2159f223342307336f3fb18d5dbda083a10f95e8589a08d4d
+size 4856