expected_model_nov1

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: expected_model_nov1
+  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. -->
+
+# expected_model_nov1
+
+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: 0.1943
+- Rouge1: 72.751
+- Rouge2: 64.531
+- Rougel: 71.7809
+- Rougelsum: 72.5858
+- Gen Len: 16.4797
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 11.5118       | 0.68  | 200  | 0.4990          | 52.9797 | 43.7182 | 52.2591 | 52.9986   | 9.6068  |
+| 0.4597        | 1.36  | 400  | 0.2770          | 71.5492 | 62.6473 | 70.6589 | 71.4471   | 16.4237 |
+| 0.3259        | 2.03  | 600  | 0.2486          | 72.1475 | 63.0992 | 71.3032 | 72.0859   | 16.3983 |
+| 0.273         | 2.71  | 800  | 0.2273          | 71.9258 | 63.3664 | 71.1095 | 71.7798   | 16.5339 |
+| 0.2545        | 3.39  | 1000 | 0.2161          | 72.3257 | 63.5931 | 71.5259 | 72.3231   | 16.4322 |
+| 0.2374        | 4.07  | 1200 | 0.2091          | 72.3551 | 63.9109 | 71.5349 | 72.2473   | 16.4746 |
+| 0.2143        | 4.75  | 1400 | 0.2116          | 72.3027 | 63.8027 | 71.6227 | 72.221    | 16.439  |
+| 0.2161        | 5.42  | 1600 | 0.1991          | 72.3081 | 63.7819 | 71.4337 | 72.2038   | 16.4712 |
+| 0.1987        | 6.1   | 1800 | 0.2039          | 72.4605 | 64.0889 | 71.6023 | 72.3601   | 16.4864 |
+| 0.1942        | 6.78  | 2000 | 0.2020          | 72.458  | 63.8879 | 71.4977 | 72.3096   | 16.4424 |
+| 0.1826        | 7.46  | 2200 | 0.2000          | 72.2467 | 63.7052 | 71.3826 | 72.0909   | 16.4288 |
+| 0.1867        | 8.14  | 2400 | 0.1965          | 72.417  | 64.0356 | 71.5254 | 72.3042   | 16.4983 |
+| 0.1773        | 8.81  | 2600 | 0.1930          | 72.5715 | 64.1819 | 71.6728 | 72.501    | 16.4797 |
+| 0.1875        | 9.49  | 2800 | 0.1943          | 72.751  | 64.531  | 71.7809 | 72.5858   | 16.4797 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- 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": "4.33.2",
+  "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": "4.33.2"
+}

pytorch_model.bin

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+size 990408885

training_args.bin

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