---
license: apache-2.0
base_model: mBart
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/t5-small-dataset-ii-lim-to-eng-002
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# bedus-creation/t5-small-dataset-ii-lim-to-eng-002

This model is a fine-tuned version of [mBart](https://huggingface.co/mBart) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2514
- Validation Loss: 0.3001
- Epoch: 99

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.0068     | 0.4628          | 0     |
| 0.4954     | 0.3665          | 1     |
| 0.4239     | 0.3488          | 2     |
| 0.3989     | 0.3300          | 3     |
| 0.3810     | 0.3232          | 4     |
| 0.3678     | 0.3192          | 5     |
| 0.3601     | 0.3140          | 6     |
| 0.3523     | 0.3110          | 7     |
| 0.3461     | 0.3099          | 8     |
| 0.3426     | 0.3074          | 9     |
| 0.3385     | 0.3055          | 10    |
| 0.3347     | 0.3019          | 11    |
| 0.3316     | 0.3036          | 12    |
| 0.3284     | 0.2997          | 13    |
| 0.3253     | 0.2983          | 14    |
| 0.3230     | 0.3004          | 15    |
| 0.3204     | 0.2977          | 16    |
| 0.3191     | 0.2957          | 17    |
| 0.3161     | 0.2931          | 18    |
| 0.3150     | 0.2925          | 19    |
| 0.3131     | 0.2921          | 20    |
| 0.3114     | 0.2909          | 21    |
| 0.3088     | 0.2925          | 22    |
| 0.3081     | 0.2922          | 23    |
| 0.3071     | 0.2894          | 24    |
| 0.3057     | 0.2889          | 25    |
| 0.3030     | 0.2898          | 26    |
| 0.3032     | 0.2884          | 27    |
| 0.3018     | 0.2873          | 28    |
| 0.2995     | 0.2887          | 29    |
| 0.3000     | 0.2864          | 30    |
| 0.2986     | 0.2868          | 31    |
| 0.2981     | 0.2854          | 32    |
| 0.2965     | 0.2867          | 33    |
| 0.2953     | 0.2862          | 34    |
| 0.2959     | 0.2848          | 35    |
| 0.2941     | 0.2849          | 36    |
| 0.2933     | 0.2867          | 37    |
| 0.2925     | 0.2875          | 38    |
| 0.2905     | 0.2843          | 39    |
| 0.2911     | 0.2843          | 40    |
| 0.2897     | 0.2863          | 41    |
| 0.2888     | 0.2855          | 42    |
| 0.2875     | 0.2852          | 43    |
| 0.2884     | 0.2878          | 44    |
| 0.2868     | 0.2853          | 45    |
| 0.2855     | 0.2843          | 46    |
| 0.2846     | 0.2852          | 47    |
| 0.2844     | 0.2833          | 48    |
| 0.2834     | 0.2847          | 49    |
| 0.2831     | 0.2851          | 50    |
| 0.2818     | 0.2839          | 51    |
| 0.2821     | 0.2843          | 52    |
| 0.2798     | 0.2858          | 53    |
| 0.2801     | 0.2843          | 54    |
| 0.2798     | 0.2851          | 55    |
| 0.2785     | 0.2880          | 56    |
| 0.2790     | 0.2853          | 57    |
| 0.2775     | 0.2860          | 58    |
| 0.2776     | 0.2848          | 59    |
| 0.2766     | 0.2875          | 60    |
| 0.2758     | 0.2864          | 61    |
| 0.2753     | 0.2857          | 62    |
| 0.2741     | 0.2899          | 63    |
| 0.2731     | 0.2904          | 64    |
| 0.2728     | 0.2887          | 65    |
| 0.2728     | 0.2879          | 66    |
| 0.2714     | 0.2877          | 67    |
| 0.2715     | 0.2901          | 68    |
| 0.2704     | 0.2864          | 69    |
| 0.2705     | 0.2876          | 70    |
| 0.2694     | 0.2925          | 71    |
| 0.2683     | 0.2923          | 72    |
| 0.2668     | 0.2910          | 73    |
| 0.2676     | 0.2878          | 74    |
| 0.2666     | 0.2928          | 75    |
| 0.2656     | 0.2903          | 76    |
| 0.2649     | 0.2913          | 77    |
| 0.2642     | 0.2912          | 78    |
| 0.2643     | 0.2944          | 79    |
| 0.2636     | 0.2910          | 80    |
| 0.2631     | 0.2922          | 81    |
| 0.2625     | 0.2983          | 82    |
| 0.2617     | 0.2945          | 83    |
| 0.2609     | 0.2914          | 84    |
| 0.2609     | 0.2974          | 85    |
| 0.2594     | 0.2960          | 86    |
| 0.2597     | 0.2977          | 87    |
| 0.2589     | 0.2972          | 88    |
| 0.2583     | 0.2970          | 89    |
| 0.2562     | 0.2951          | 90    |
| 0.2565     | 0.3004          | 91    |
| 0.2556     | 0.2971          | 92    |
| 0.2555     | 0.2963          | 93    |
| 0.2541     | 0.2991          | 94    |
| 0.2548     | 0.3000          | 95    |
| 0.2540     | 0.3015          | 96    |
| 0.2527     | 0.3004          | 97    |
| 0.2528     | 0.3012          | 98    |
| 0.2514     | 0.3001          | 99    |


### Framework versions

- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3