flan-t5-base-model2

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-model2
+  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. -->
+
+# flan-t5-base-model2
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2236
+- Rouge1: 73.2746
+- Rouge2: 65.1173
+- Rougel: 72.149
+- Rougelsum: 73.1838
+- Gen Len: 16.1625
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 11.4224       | 0.71  | 200  | 0.5002          | 49.2994 | 40.066  | 49.0355 | 49.3658   | 7.6113  |
+| 0.4129        | 1.41  | 400  | 0.3030          | 72.7746 | 63.8666 | 71.4539 | 72.5604   | 16.2138 |
+| 0.3131        | 2.12  | 600  | 0.2793          | 73.6239 | 64.6532 | 72.2694 | 73.5208   | 16.1148 |
+| 0.2615        | 2.83  | 800  | 0.2674          | 73.2672 | 64.6251 | 72.0459 | 73.0736   | 16.2067 |
+| 0.2347        | 3.53  | 1000 | 0.2631          | 73.0069 | 64.3272 | 71.8482 | 72.963    | 16.2049 |
+| 0.2222        | 4.24  | 1200 | 0.2437          | 73.3821 | 64.9656 | 72.1995 | 73.2511   | 16.0795 |
+| 0.2077        | 4.95  | 1400 | 0.2450          | 73.1663 | 64.7168 | 72.023  | 73.0977   | 16.0936 |
+| 0.1976        | 5.65  | 1600 | 0.2296          | 73.2977 | 64.8011 | 72.2179 | 73.3089   | 16.1661 |
+| 0.1804        | 6.36  | 1800 | 0.2268          | 73.1599 | 64.852  | 72.0518 | 73.1532   | 16.1802 |
+| 0.1842        | 7.07  | 2000 | 0.2284          | 73.2343 | 64.944  | 72.046  | 73.1038   | 16.159  |
+| 0.1776        | 7.77  | 2200 | 0.2255          | 73.3332 | 65.119  | 72.1684 | 73.2489   | 16.1449 |
+| 0.1621        | 8.48  | 2400 | 0.2231          | 73.2057 | 64.9477 | 72.1727 | 73.1358   | 16.1219 |
+| 0.1657        | 9.19  | 2600 | 0.2234          | 73.2285 | 65.0575 | 72.0227 | 73.2392   | 16.1608 |
+| 0.1653        | 9.89  | 2800 | 0.2236          | 73.2746 | 65.1173 | 72.149  | 73.1838   | 16.1625 |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "google/flan-t5-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",
+  "n_positions": 512,
+  "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,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1"
+}

pytorch_model.bin

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+size 990408885

training_args.bin

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