Seid Muhie Yimam
commited on
Commit
•
998eec8
1
Parent(s):
03d54d6
ethio-xlmr large
Browse files- README.md +54 -0
- all_results.json +14 -0
- config.json +28 -0
- eval_results.json +9 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer_config.json +21 -0
- train_results.json +8 -0
- trainer_state.json +2746 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: xlm-roberta-large
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tags:
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- generated_from_trainer
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model-index:
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- name: ethio_xlmr_large
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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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# ethio_xlmr_large
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4802
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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: 32
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- eval_batch_size: 32
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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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- num_epochs: 10.0
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### Training results
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 10.0,
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"eval_loss": 2.480246067047119,
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"eval_runtime": 3791.2085,
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"eval_samples": 181215,
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"eval_samples_per_second": 47.799,
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"eval_steps_per_second": 1.494,
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"perplexity": 11.944203131068686,
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"train_loss": 3.1833379993784776,
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"train_runtime": 282485.8482,
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"train_samples": 724891,
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"train_samples_per_second": 25.661,
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"train_steps_per_second": 0.802
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}
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config.json
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{
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"_name_or_path": "xlm-roberta-large",
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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": "4.33.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 70002
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_loss": 2.480246067047119,
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"eval_runtime": 3791.2085,
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"eval_samples": 181215,
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"eval_samples_per_second": 47.799,
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"eval_steps_per_second": 1.494,
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"perplexity": 11.944203131068686
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:00bed62e1454ed35f633e9b01a909a6c08a0e4e73607e941c9f43b2a3289116d
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size 1502706037
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:17222963fdc50cff64fd9b0ec00ef13b14d0b62c02bf3aa717fde09a9c784cfa
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size 1630156
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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_config.json
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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": {
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"__type": "AddedToken",
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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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"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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"use_fast": true
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}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 3.1833379993784776,
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"train_runtime": 282485.8482,
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"train_samples": 724891,
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"train_samples_per_second": 25.661,
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"train_steps_per_second": 0.802
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}
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trainer_state.json
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