initial
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 +9 -0
- tokenizer_config.json +22 -0
- train_results.json +8 -0
- trainer_state.json +2239 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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+
license: mit
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tags:
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+
- generated_from_trainer
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model-index:
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- name: amh_base
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results: []
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| 8 |
+
---
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| 9 |
+
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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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+
# amh_base
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This model is a fine-tuned version of [Davlan/afro-xlmr-base](https://huggingface.co/Davlan/afro-xlmr-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.3301
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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: 10
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- eval_batch_size: 8
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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: 5.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1
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- Datasets 2.13.0
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| 54 |
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 5.0,
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| 3 |
+
"eval_loss": 4.330130577087402,
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| 4 |
+
"eval_runtime": 92.9187,
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| 5 |
+
"eval_samples": 18156,
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| 6 |
+
"eval_samples_per_second": 195.397,
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| 7 |
+
"eval_steps_per_second": 24.43,
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| 8 |
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"perplexity": 75.95420380039987,
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| 9 |
+
"train_loss": 5.414583057241204,
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| 10 |
+
"train_runtime": 31930.2738,
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| 11 |
+
"train_samples": 369106,
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| 12 |
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"train_samples_per_second": 57.799,
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"train_steps_per_second": 5.78
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}
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config.json
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{
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"_name_or_path": "Davlan/afro-xlmr-base",
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"architectures": [
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"XLMRobertaForMaskedLM"
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],
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| 6 |
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"attention_probs_dropout_prob": 0.1,
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| 7 |
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"bos_token_id": 0,
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| 8 |
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"classifier_dropout": null,
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| 9 |
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"eos_token_id": 2,
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| 10 |
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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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| 13 |
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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| 15 |
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"layer_norm_eps": 1e-05,
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| 16 |
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"max_position_embeddings": 514,
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| 17 |
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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| 19 |
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"num_hidden_layers": 12,
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| 20 |
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"output_past": true,
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| 21 |
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"pad_token_id": 1,
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| 22 |
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"position_embedding_type": "absolute",
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| 23 |
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"torch_dtype": "float32",
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| 24 |
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"transformers_version": "4.29.2",
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"type_vocab_size": 1,
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| 26 |
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"use_cache": true,
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| 27 |
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"vocab_size": 250002
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}
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eval_results.json
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{
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| 2 |
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"epoch": 5.0,
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| 3 |
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"eval_loss": 4.330130577087402,
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| 4 |
+
"eval_runtime": 92.9187,
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| 5 |
+
"eval_samples": 18156,
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| 6 |
+
"eval_samples_per_second": 195.397,
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| 7 |
+
"eval_steps_per_second": 24.43,
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| 8 |
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"perplexity": 75.95420380039987
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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 sha256:487e8d40238673aa5fe9742e75a7b4c3685f54a2085a7a32df3bdf2cb4df9bd9
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size 1113254457
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:962d9ea4dc5fa781966758e4ff09a2ce618864c4a9e19c5bcb3887457e022d51
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size 5479707
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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": "<mask>",
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"pad_token": "<pad>",
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| 7 |
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"sep_token": "</s>",
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| 8 |
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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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| 16 |
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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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"tokenizer_file": null,
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| 20 |
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"unk_token": "<unk>",
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| 21 |
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"use_fast": true
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| 22 |
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}
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train_results.json
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{
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"epoch": 5.0,
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| 3 |
+
"train_loss": 5.414583057241204,
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| 4 |
+
"train_runtime": 31930.2738,
|
| 5 |
+
"train_samples": 369106,
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| 6 |
+
"train_samples_per_second": 57.799,
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| 7 |
+
"train_steps_per_second": 5.78
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| 8 |
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}
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trainer_state.json
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training_args.bin
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