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@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.ttf filter=lfs diff=lfs merge=lfs -text

GoNotoCurrent.ttf

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README.md

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+---
+language:
+- en
+- ar
+- bg
+- de
+- el
+- fr
+- hi
+- ru
+- es
+- sw
+- th
+- tr
+- ur
+- vi
+- zh
+tags:
+- generated_from_trainer
+datasets:
+- xnli
+metrics:
+- accuracy
+model-index:
+- name: pixel-base-finetuned-xnli-translate-train-all
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: XNLI
+      type: xnli
+      args: xnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6254886211512718
+---
+
+<!-- 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. -->
+
+# pixel-base-finetuned-xnli-translate-train-all
+
+This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base) on the XNLI dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8312
+- Accuracy: 0.6255
+
+## 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: 2e-05
+- train_batch_size: 256
+- eval_batch_size: 8
+- seed: 555
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 50000
+- mixed_precision_training: Apex, opt level O1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.0422        | 0.04  | 1000  | 1.0647          | 0.4250   |
+| 0.9622        | 0.09  | 2000  | 1.0015          | 0.5051   |
+| 0.93          | 0.13  | 3000  | 0.9750          | 0.5285   |
+| 0.9126        | 0.17  | 4000  | 0.9396          | 0.5488   |
+| 0.9033        | 0.22  | 5000  | 0.9353          | 0.5603   |
+| 0.8861        | 0.26  | 6000  | 0.9369          | 0.5606   |
+| 0.8799        | 0.3   | 7000  | 0.9407          | 0.5575   |
+| 0.8627        | 0.35  | 8000  | 0.9079          | 0.5774   |
+| 0.8658        | 0.39  | 9000  | 0.9110          | 0.5711   |
+| 0.8521        | 0.43  | 10000 | 0.8945          | 0.5837   |
+| 0.8562        | 0.48  | 11000 | 0.8818          | 0.5871   |
+| 0.8479        | 0.52  | 12000 | 0.8771          | 0.5938   |
+| 0.8451        | 0.56  | 13000 | 0.8965          | 0.5844   |
+| 0.8433        | 0.61  | 14000 | 0.8814          | 0.5937   |
+| 0.8331        | 0.65  | 15000 | 0.8721          | 0.5983   |
+| 0.8267        | 0.7   | 16000 | 0.8691          | 0.5978   |
+| 0.8254        | 0.74  | 17000 | 0.8646          | 0.5999   |
+| 0.8214        | 0.78  | 18000 | 0.8700          | 0.6004   |
+| 0.815         | 0.83  | 19000 | 0.8621          | 0.6016   |
+| 0.8145        | 0.87  | 20000 | 0.8482          | 0.6119   |
+| 0.8067        | 0.91  | 21000 | 0.8601          | 0.6053   |
+| 0.8063        | 0.96  | 22000 | 0.8535          | 0.6093   |
+| 0.8008        | 1.0   | 23000 | 0.8455          | 0.6123   |
+| 0.7863        | 1.04  | 24000 | 0.8524          | 0.6107   |
+| 0.7918        | 1.09  | 25000 | 0.8450          | 0.6142   |
+| 0.7746        | 1.13  | 26000 | 0.8531          | 0.6095   |
+| 0.7855        | 1.17  | 27000 | 0.8442          | 0.6150   |
+| 0.7903        | 1.22  | 28000 | 0.8386          | 0.6162   |
+| 0.7808        | 1.26  | 29000 | 0.8403          | 0.6178   |
+| 0.7847        | 1.3   | 30000 | 0.8421          | 0.6145   |
+| 0.7822        | 1.35  | 31000 | 0.8427          | 0.6157   |
+| 0.769         | 1.39  | 32000 | 0.8397          | 0.6187   |
+| 0.7822        | 1.43  | 33000 | 0.8315          | 0.6213   |
+| 0.771         | 1.48  | 34000 | 0.8505          | 0.6141   |
+| 0.7713        | 1.52  | 35000 | 0.8482          | 0.6142   |
+| 0.7663        | 1.56  | 36000 | 0.8490          | 0.6169   |
+| 0.7653        | 1.61  | 37000 | 0.8295          | 0.6229   |
+| 0.7669        | 1.65  | 38000 | 0.8313          | 0.6217   |
+| 0.77          | 1.69  | 39000 | 0.8309          | 0.6234   |
+| 0.763         | 1.74  | 40000 | 0.8310          | 0.6256   |
+| 0.7609        | 1.78  | 41000 | 0.8302          | 0.6228   |
+| 0.7627        | 1.83  | 42000 | 0.8242          | 0.6269   |
+| 0.7617        | 1.87  | 43000 | 0.8232          | 0.6264   |
+| 0.7636        | 1.91  | 44000 | 0.8265          | 0.6261   |
+| 0.7585        | 1.96  | 45000 | 0.8258          | 0.6268   |
+| 0.7572        | 2.0   | 46000 | 0.8223          | 0.6278   |
+| 0.7396        | 2.04  | 47000 | 0.8348          | 0.6242   |
+| 0.7344        | 2.09  | 48000 | 0.8299          | 0.6270   |
+| 0.7385        | 2.13  | 49000 | 0.8314          | 0.6240   |
+| 0.7275        | 2.17  | 50000 | 0.8312          | 0.6255   |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.11.0
+- Datasets 2.0.0
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "Team-PIXEL/pixel-base",
+  "architectures": [
+    "PIXELForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "decoder_hidden_size": 512,
+  "decoder_intermediate_size": 2048,
+  "decoder_num_attention_heads": 16,
+  "decoder_num_hidden_layers": 8,
+  "finetuning_task": "xnli",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "entailment",
+    "1": "neutral",
+    "2": "contradiction"
+  },
+  "image_size": [
+    16,
+    3136
+  ],
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "interpolate_pos_encoding": false,
+  "label2id": {
+    "contradiction": 2,
+    "entailment": 0,
+    "neutral": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "mask_ratio": 0.25,
+  "model_type": "vit_mae",
+  "norm_pix_loss": true,
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0"
+}

pytorch_model.bin

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text_renderer_config.json

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+  "font_color": "black",
+  "font_file": "GoNotoCurrent.ttf",
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+    "Noto Sans Javanese",
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+    "Noto Sans Kayah Li",
+    "Noto Sans Khmer",
+    "Noto Sans Lao",
+    "Noto Sans Lepcha",
+    "Noto Sans Limbu",
+    "Noto Sans Lisu",
+    "Noto Sans Malayalam",
+    "Noto Sans Mandaic",
+    "Noto Sans Masaram Gondi",
+    "Noto Sans Math",
+    "Noto Sans Medefaidrin",
+    "Noto Sans Meetei Mayek",
+    "Noto Sans Mende Kikakui",
+    "Noto Sans Miao",
+    "Noto Sans Mongolian",
+    "Noto Sans Mro",
+    "Noto Sans Myanmar",
+    "Noto Sans NKo",
+    "Noto Sans New Tai Lue",
+    "Noto Sans Newa",
+    "Noto Sans Nushu",
+    "Noto Sans Ol Chiki",
+    "Noto Sans Oriya",
+    "Noto Sans Osage",
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+    "Noto Sans Pahawh Hmong",
+    "Noto Sans Pau Cin Hau",
+    "Noto Sans Rejang",
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+    "Noto Sans Saurashtra",
+    "Noto Sans SignWriting",
+    "Noto Sans Sinhala",
+    "Noto Sans Sundanese",
+    "Noto Sans Syloti Nagri",
+    "Noto Sans Symbols",
+    "Noto Sans Symbols2",
+    "Noto Sans Syriac",
+    "Noto Sans Tagalog",
+    "Noto Sans Tagbanwa",
+    "Noto Sans Tai Le",
+    "Noto Sans Tai Tham",
+    "Noto Sans Tai Viet",
+    "Noto Sans Tamil",
+    "Noto Sans Tangsa",
+    "Noto Sans Telugu",
+    "Noto Sans Thaana",
+    "Noto Sans Thai",
+    "Noto Sans Tifinagh",
+    "Noto Sans Vai",
+    "Noto Sans Wancho",
+    "Noto Sans Warang Citi",
+    "Noto Sans Yi",
+    "P052",
+    "Sans",
+    "Serif",
+    "Source Code Pro",
+    "System-ui",
+    "URW Bookman",
+    "URW Gothic",
+    "Ubuntu",
+    "Ubuntu Condensed",
+    "Ubuntu Mono",
+    "Z003"
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+  "max_seq_length": 196,
+  "pad_size": 3,
+  "pixels_per_patch": 16,
+  "rgb": false,
+  "text_renderer_type": "PangoCairoTextRenderer"
+}