Upload 12 files
Browse files- .gitattributes +1 -0
- README.md +56 -1
- all_results.json +15 -0
- config.json +28 -0
- eval_results.json +10 -0
- rng_state.pth +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +55 -0
- train_results.json +8 -0
- trainer_state.json +1438 -0
- training_args.bin +3 -0
.gitattributes
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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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*.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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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-
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---
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---
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base_model: xlm-r-large-script_expand
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: afro-xlmr_large_76L_script
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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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# afro-xlmr_large_76L_script
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This model is a fine-tuned version of [xlm-r-large-script_expand](https://huggingface.co/xlm-r-large-script_expand) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0044
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- Accuracy: 0.7963
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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: 5e-05
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- train_batch_size: 40
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 320
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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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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.7963311512924233,
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"eval_loss": 1.0044164657592773,
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"eval_runtime": 240.565,
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"eval_samples": 13129,
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"eval_samples_per_second": 54.576,
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"eval_steps_per_second": 1.708,
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"perplexity": 2.7303135764231867,
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"train_loss": 0.762959968830496,
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"train_runtime": 1022407.089,
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"train_samples": 12546807,
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"train_samples_per_second": 36.815,
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"train_steps_per_second": 0.115
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}
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config.json
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{
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"_name_or_path": "xlm-r-large-script_expand",
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"architectures": [
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"XLMRobertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 275002
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.7963311512924233,
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"eval_loss": 1.0044164657592773,
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"eval_runtime": 240.565,
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"eval_samples": 13129,
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"eval_samples_per_second": 54.576,
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"eval_steps_per_second": 1.708,
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"perplexity": 2.7303135764231867
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}
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:82dcc0cf08715ca166c196ad5e6043c9f3f1961ee758faee28d21e5e0e12a10e
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size 14244
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae4efcc1b959ac004a52702b9fdddc9bc51179553153dd67e41abcf4e156e704
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size 5564528
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee4594336579b9e6f28157a3c5bd49c36454c17e968171fca3f8eaaae17d7515
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size 18622647
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"250001": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"275001": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.762959968830496,
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"train_runtime": 1022407.089,
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"train_samples": 12546807,
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"train_samples_per_second": 36.815,
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"train_steps_per_second": 0.115
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}
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trainer_state.json
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