psxjp5
/

mt5-small_new

+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- bleu
+model-index:
+- name: mt5-small_final_final_new
+  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_final_final_new
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2941
+- Rouge1: 41.3841
+- Rouge2: 32.6198
+- Rougel: 38.6245
+- Rougelsum: 38.6833
+- Bleu: 28.8775
+- Gen Len: 17.0839
+- Meteor: 0.3704
+- No ans accuracy: 0.0
+- Av cosine sim: 0.7627
+## 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: 1.5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 9
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu    | Gen Len | Meteor | No ans accuracy | Av cosine sim |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:------:|:---------------:|:-------------:|
+| 14.5708       | 1.0   | 175  | 4.8623          | 10.2732 | 3.6837  | 9.295   | 9.3426    | 2.4037  | 8.7507  | 0.0865 | 0.0             | 0.4429        |
+| 6.5938        | 1.99  | 350  | 3.0321          | 10.3823 | 5.1376  | 9.566   | 9.6003    | 3.8998  | 7.844   | 0.0969 | 0.0             | 0.4234        |
+| 4.3372        | 2.99  | 525  | 2.3227          | 26.9602 | 18.9826 | 25.2396 | 25.2665   | 9.7754  | 12.2901 | 0.2376 | 0.0             | 0.6442        |
+| 3.4266        | 3.98  | 700  | 2.0083          | 31.5678 | 23.6447 | 29.6748 | 29.7026   | 12.8064 | 13.222  | 0.2877 | 0.0             | 0.6947        |
+| 3.0011        | 4.98  | 875  | 1.8600          | 32.2283 | 24.3874 | 30.2293 | 30.2518   | 14.2873 | 13.6664 | 0.2984 | 0.0             | 0.704         |
+| 2.7444        | 5.97  | 1050 | 1.7535          | 32.4685 | 24.6833 | 30.4294 | 30.4397   | 14.9587 | 13.8386 | 0.3029 | 0.0             | 0.7074        |
+| 2.5506        | 6.97  | 1225 | 1.6692          | 32.5693 | 24.8903 | 30.5541 | 30.5742   | 15.3203 | 13.9335 | 0.305  | 0.0             | 0.7097        |
+| 2.4241        | 7.96  | 1400 | 1.5991          | 32.763  | 25.0389 | 30.7387 | 30.7372   | 15.8514 | 13.9643 | 0.3078 | 0.0             | 0.7127        |
+| 2.2984        | 8.96  | 1575 | 1.5373          | 32.7553 | 25.113  | 30.7279 | 30.7385   | 16.1118 | 14.0551 | 0.3085 | 0.0             | 0.7126        |
+| 2.2212        | 9.95  | 1750 | 1.4843          | 32.1917 | 24.619  | 30.2246 | 30.2458   | 16.1846 | 14.0741 | 0.3037 | 0.0             | 0.7068        |
+| 2.1401        | 10.95 | 1925 | 1.4425          | 32.2614 | 24.7428 | 30.3223 | 30.3377   | 16.3919 | 13.9891 | 0.3044 | 0.0             | 0.7087        |
+| 2.0755        | 11.94 | 2100 | 1.4034          | 32.222  | 24.6764 | 30.2975 | 30.3261   | 16.504  | 13.9859 | 0.3043 | 0.0             | 0.71          |
+| 2.0328        | 12.94 | 2275 | 1.3723          | 32.1828 | 24.6096 | 30.2115 | 30.2389   | 16.5263 | 13.9632 | 0.3038 | 0.0             | 0.7099        |
+| 1.9793        | 13.93 | 2450 | 1.3478          | 32.3184 | 24.6774 | 30.333  | 30.3495   | 16.8168 | 14.2392 | 0.3046 | 0.0             | 0.7097        |
+| 1.9541        | 14.93 | 2625 | 1.3288          | 39.7212 | 31.117  | 37.1213 | 37.1596   | 26.1835 | 16.4908 | 0.3582 | 0.0             | 0.7527        |
+| 1.9287        | 15.92 | 2800 | 1.3136          | 41.2942 | 32.5064 | 38.5652 | 38.6121   | 28.7564 | 17.0243 | 0.3693 | 0.0             | 0.7619        |
+| 1.8985        | 16.92 | 2975 | 1.3059          | 41.3069 | 32.5558 | 38.5643 | 38.607    | 28.7815 | 17.0815 | 0.3697 | 0.0             | 0.7619        |
+| 1.8938        | 17.91 | 3150 | 1.2985          | 41.4096 | 32.6579 | 38.6483 | 38.7074   | 28.8733 | 17.0759 | 0.3707 | 0.0             | 0.7628        |
+| 1.8795        | 18.91 | 3325 | 1.2941          | 41.3841 | 32.6198 | 38.6245 | 38.6833   | 28.8775 | 17.0839 | 0.3704 | 0.0             | 0.7627        |
+### Framework versions
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3