gsvann/model_name

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-amazon-en-de
+  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-small-finetuned-amazon-en-de
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6964
+- Rouge1: 16.9495
+- Rouge2: 10.3864
+- Rougel: 16.6107
+- Rougelsum: 16.5146
+
+## 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: 5.6e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 8.2166        | 1.0   | 651  | 3.1449          | 14.8158 | 7.6238  | 14.4691 | 14.317    |
+| 4.0965        | 2.0   | 1302 | 2.9073          | 14.7988 | 7.7674  | 14.5117 | 14.3895   |
+| 3.7254        | 3.0   | 1953 | 2.8142          | 14.5259 | 7.1771  | 14.3574 | 14.3033   |
+| 3.5485        | 4.0   | 2604 | 2.7675          | 16.6534 | 9.6695  | 16.5785 | 16.3698   |
+| 3.42          | 5.0   | 3255 | 2.7387          | 16.6817 | 9.9656  | 16.5414 | 16.414    |
+| 3.3369        | 6.0   | 3906 | 2.7054          | 17.2119 | 10.4457 | 17.0202 | 16.8504   |
+| 3.3025        | 7.0   | 4557 | 2.6915          | 16.2837 | 10.02   | 15.9801 | 15.8678   |
+| 3.2659        | 8.0   | 5208 | 2.6964          | 16.9495 | 10.3864 | 16.6107 | 16.5146   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "google/mt5-small",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "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": "mt5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "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": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+{
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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.1"
+}

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tokenizer_config.json

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+}

training_args.bin

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