End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-semantic
+  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. -->
+
+# mt5-semantic
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.5169
+- Rouge1: 0.1333
+- Rouge2: 0.0
+- Rougel: 0.1333
+- Rougelsum: 0.1333
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| No log        | 1.0   | 1    | 13.3180         | 0.0    | 0.0    | 0.0    | 0.0       |
+| No log        | 2.0   | 2    | 10.2648         | 0.0    | 0.0    | 0.0    | 0.0       |
+| No log        | 3.0   | 3    | 14.4358         | 0.2222 | 0.125  | 0.2222 | 0.2222    |
+| No log        | 4.0   | 4    | 12.2551         | 0.2222 | 0.125  | 0.2222 | 0.2222    |
+| No log        | 5.0   | 5    | 8.3587          | 0.2222 | 0.125  | 0.2222 | 0.2222    |
+| No log        | 6.0   | 6    | 9.0556          | 0.2222 | 0.125  | 0.2222 | 0.2222    |
+| No log        | 7.0   | 7    | 9.8159          | 0.25   | 0.1429 | 0.25   | 0.25      |
+| No log        | 8.0   | 8    | 8.7513          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 9.0   | 9    | 9.2218          | 0.2    | 0.0    | 0.2    | 0.2       |
+| No log        | 10.0  | 10   | 8.9089          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 11.0  | 11   | 10.3286         | 0.1667 | 0.0    | 0.1667 | 0.1667    |
+| No log        | 12.0  | 12   | 9.6879          | 0.1667 | 0.0    | 0.1667 | 0.1667    |
+| No log        | 13.0  | 13   | 8.9536          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 14.0  | 14   | 8.3151          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 15.0  | 15   | 7.2542          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 16.0  | 16   | 7.4371          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 17.0  | 17   | 7.8925          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 18.0  | 18   | 7.5644          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 19.0  | 19   | 8.1827          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 20.0  | 20   | 6.8002          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 21.0  | 21   | 7.1925          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 22.0  | 22   | 7.9999          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 23.0  | 23   | 7.4629          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 24.0  | 24   | 8.1180          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 25.0  | 25   | 7.0687          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 26.0  | 26   | 8.3404          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 27.0  | 27   | 6.2122          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 28.0  | 28   | 5.5703          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 29.0  | 29   | 5.5613          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+| No log        | 30.0  | 30   | 5.5169          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "google/mt5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model.safetensors

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runs/Nov22_02-03-23_0d07af5a4c1d/events.out.tfevents.1700618610.0d07af5a4c1d.152.0

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special_tokens_map.json

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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
+  }
+}

spiece.model

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tokenizer_config.json

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+{
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+  "additional_special_tokens": [],
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 0,
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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