gowitheflow-1998
commited on
Commit
·
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Parent(s):
5f7ef31
init
Browse files- .gitattributes +3 -0
- 763e176b60c0e797d0388f0145df643d884c8574fa9925151d3a1d53c46d29c8.3f28e7f4b38e1efe1b6da4a3732404c19d4c6a614ff32dce90a251e293d4ce58 +3 -0
- README.md +53 -0
- all_results.json +8 -0
- config.json +43 -0
- pytorch_model.bin +3 -0
- text_renderer_config.json +175 -0
- train_results.json +8 -0
- trainer_state.json +307 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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training_args.bin filter=lfs diff=lfs merge=lfs -text
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763e176b60c0e797d0388f0145df643d884c8574fa9925151d3a1d53c46d29c8.3f28e7f4b38e1efe1b6da4a3732404c19d4c6a614ff32dce90a251e293d4ce58 filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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763e176b60c0e797d0388f0145df643d884c8574fa9925151d3a1d53c46d29c8.3f28e7f4b38e1efe1b6da4a3732404c19d4c6a614ff32dce90a251e293d4ce58
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version https://git-lfs.github.com/spec/v1
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oid sha256:83ab5c39e2b1c34a955136275ce0db068cb20d9643ead033d6b8124a73ab4f64
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size 15645492
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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- parallel-pt-nl-pl
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model-index:
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- name: allnli_wikispan_unsup_ensemble_last**-64-128-3e-5-9400
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# allnli_wikispan_unsup_ensemble_last**-64-128-3e-5-9400
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This model is a fine-tuned version of [zxh4546/allnli_wikispan_unsup_ensemble_last](https://huggingface.co/zxh4546/allnli_wikispan_unsup_ensemble_last) on the PARALLEL-PT-NL-PL dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 128
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1000
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- training_steps: 9400
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### Training results
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.11.0
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 8.931647637549867,
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"train_runtime": 5062.6195,
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"train_samples": 1201407,
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"train_samples_per_second": 237.664,
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"train_steps_per_second": 1.857
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}
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config.json
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{
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"_name_or_path": "zxh4546/allnli_wikispan_unsup_ensemble_last",
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"architectures": [
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"PIXELForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"decoder_hidden_size": 512,
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"decoder_intermediate_size": 2048,
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"decoder_num_attention_heads": 16,
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"decoder_num_hidden_layers": 8,
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"finetuning_task": "parallel-pt-nl-pl",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Entailment",
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"1": "Neutral",
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"2": "Contradiction"
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},
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"image_size": [
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16,
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1024
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],
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"interpolate_pos_encoding": false,
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"label2id": {
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"Contradiction": 2,
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"Entailment": 0,
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"Neutral": 1
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},
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"layer_norm_eps": 1e-12,
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"mask_ratio": 0.25,
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"model_type": "pixel",
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"norm_pix_loss": true,
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.17.0"
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}
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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:55b967736f6cbc69dba1819c0eb486d659782a6322ce214677f8f203af9f7f1a
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size 345238445
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text_renderer_config.json
ADDED
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{
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"background_color": "white",
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"dpi": 120,
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"font_color": "black",
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"font_file": "763e176b60c0e797d0388f0145df643d884c8574fa9925151d3a1d53c46d29c8.3f28e7f4b38e1efe1b6da4a3732404c19d4c6a614ff32dce90a251e293d4ce58",
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"font_size": 8,
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"fonts_list": [
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"Abyssinica SIL",
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"Ani",
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"AnjaliOldLipi",
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"C059",
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"Chandas",
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"Chilanka",
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"D050000L",
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"DejaVu Math TeX Gyre",
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"DejaVu Sans",
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"DejaVu Sans Mono",
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"DejaVu Serif",
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"Dhurjati",
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"Droid Sans Fallback",
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"Dyuthi",
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"FreeMono",
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"FreeSans",
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"FreeSerif",
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"Gargi",
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"Garuda",
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"Gayathri",
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"Gidugu",
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"Go Noto Current",
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"Gubbi",
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"Gurajada",
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"Inconsolata",
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"Jamrul",
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"KacstArt",
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"KacstBook",
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"KacstDecorative",
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"KacstDigital",
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"KacstFarsi",
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"KacstLetter",
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"KacstNaskh",
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"KacstOffice",
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"KacstOne",
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"KacstPen",
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"KacstPoster",
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"KacstQurn",
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"KacstScreen",
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"KacstTitle",
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"KacstTitleL",
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"Kalapi",
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"Kalimati",
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"Karumbi",
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"Keraleeyam",
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"Khmer OS",
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"Khmer OS System",
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"Kinnari",
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"LKLUG",
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"LakkiReddy",
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"Laksaman",
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"Liberation Mono",
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"Liberation Sans",
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"Liberation Sans Narrow",
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"Liberation Serif",
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"Likhan",
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"Lohit Assamese",
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"Lohit Bengali",
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"Lohit Devanagari",
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"Lohit Gujarati",
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"Lohit Gurmukhi",
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"Lohit Kannada",
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"Lohit Malayalam",
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"Lohit Odia",
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"Lohit Tamil",
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"Lohit Tamil Classical",
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"Lohit Telugu",
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"Loma",
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"Mallanna",
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"Mandali",
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"Manjari",
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"Meera",
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"Mitra Mono",
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"Monospace",
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"Mukti Narrow",
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"NATS",
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"NTR",
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"Nakula",
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"Navilu",
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"Nimbus Mono PS",
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"Nimbus Roman",
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"Nimbus Sans",
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"Nimbus Sans Narrow",
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"Norasi",
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"Noto Color Emoji",
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"Noto Mono",
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"Noto Sans CJK HK",
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"Noto Sans CJK JP",
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"Noto Sans CJK KR",
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"Noto Sans CJK SC",
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"Noto Sans CJK TC",
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"Noto Sans Mono",
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"Noto Sans Mono CJK HK",
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"Noto Sans Mono CJK JP",
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"Noto Sans Mono CJK KR",
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"Noto Sans Mono CJK SC",
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"Noto Sans Mono CJK TC",
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"Noto Serif CJK JP",
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"Noto Serif CJK KR",
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"Noto Serif CJK SC",
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"Noto Serif CJK TC",
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"OpenSymbol",
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"P052",
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"Padauk",
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"Padauk Book",
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"Pagul",
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"Peddana",
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"Phetsarath OT",
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"Ponnala",
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"Pothana2000",
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"Potti Sreeramulu",
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"Purisa",
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"Rachana",
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"RaghuMalayalamSans",
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"Ramabhadra",
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"Ramaraja",
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"Rasa",
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"RaviPrakash",
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"Rekha",
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"Saab",
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"Sahadeva",
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"Samanata",
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"Samyak Devanagari",
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"Samyak Gujarati",
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"Samyak Malayalam",
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"Samyak Tamil",
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"Sans",
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"Sarai",
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"Sawasdee",
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"Serif",
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"Source Code Pro",
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"Sree Krushnadevaraya",
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"Standard Symbols PS",
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"Suranna",
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"Suravaram",
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"Suruma",
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"Syamala Ramana",
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"System-ui",
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"TenaliRamakrishna",
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"Tibetan Machine Uni",
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"Timmana",
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"Tlwg Mono",
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"Tlwg Typewriter",
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"Tlwg Typist",
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"Tlwg Typo",
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"URW Bookman",
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"URW Gothic",
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"Ubuntu",
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"Ubuntu Condensed",
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"Ubuntu Mono",
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"Umpush",
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"Uroob",
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"Vemana2000",
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"Waree",
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"Yrsa",
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"Z003",
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"aakar",
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"mry_KacstQurn",
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"ori1Uni",
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"padmaa",
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"padmaa-Bold.1.1"
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],
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"max_seq_length": 64,
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"pad_size": 3,
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"pixels_per_patch": 16,
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"rgb": false,
|
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"text_renderer_type": "PangoCairoTextRenderer"
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}
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train_results.json
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