End of training

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: maximo-t5-chat
+  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. -->
+
+# maximo-t5-chat
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9662
+- Rouge1: 40.75
+- Rouge2: 29.1975
+- Rougel: 37.9379
+- Rougelsum: 38.4814
+- Gen Len: 16.0
+
+## 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: 0.0005
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 2    | 2.3093          | 19.8026 | 2.37    | 17.9508 | 17.9508   | 8.25    |
+| No log        | 2.0   | 4    | 2.1217          | 27.8825 | 7.1408  | 24.4377 | 25.5648   | 15.5    |
+| No log        | 3.0   | 6    | 2.0575          | 43.9982 | 32.2234 | 40.0719 | 40.8556   | 15.75   |
+| No log        | 4.0   | 8    | 2.0250          | 41.0247 | 30.6915 | 39.0215 | 40.4149   | 16.0    |
+| No log        | 5.0   | 10   | 2.0107          | 40.751  | 30.1882 | 36.6149 | 38.1412   | 16.0    |
+| No log        | 6.0   | 12   | 2.0020          | 38.2692 | 27.9512 | 34.5122 | 36.6315   | 16.0    |
+| No log        | 7.0   | 14   | 1.9886          | 41.4727 | 29.7718 | 37.1689 | 37.2678   | 16.0    |
+| No log        | 8.0   | 16   | 1.9752          | 41.4727 | 29.7718 | 37.1689 | 37.2678   | 16.0    |
+| No log        | 9.0   | 18   | 1.9695          | 39.4309 | 29.1975 | 35.6826 | 37.226    | 16.0    |
+| No log        | 10.0  | 20   | 1.9662          | 40.75   | 29.1975 | 37.9379 | 38.4814   | 16.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "google/flan-t5-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "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": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "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": "4.35.2",
+  "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": "4.35.2"
+}

model.safetensors

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runs/Nov30_07-53-40_0f3db94c244d/events.out.tfevents.1701330830.0f3db94c244d.1025.1

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training_args.bin

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