Gaussian 512 fine-tuned XNLI es with acc 0.7843
Browse files- all_results.json +14 -0
- config.json +39 -0
- eval_results.json +9 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +1495 -0
- training_args.bin +3 -0
- vocab.json +0 -0
all_results.json
ADDED
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{
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"epoch": 5.0,
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"eval_accuracy": 0.7843373493975904,
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"eval_loss": 0.6859853267669678,
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"eval_runtime": 26.3375,
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"eval_samples": 2490,
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| 7 |
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"eval_samples_per_second": 94.542,
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"eval_steps_per_second": 5.923,
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"train_loss": 0.5170908811661225,
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"train_runtime": 67360.5161,
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"train_samples": 392702,
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"train_samples_per_second": 29.149,
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"train_steps_per_second": 1.822
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}
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config.json
ADDED
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{
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"_name_or_path": "bertin-project/bertin-base-gaussian-exp-512seqlen",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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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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"eos_token_id": 2,
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| 9 |
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"finetuning_task": "xnli",
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"gradient_checkpointing": false,
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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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.9.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.7843373493975904,
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"eval_loss": 0.6859853267669678,
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"eval_runtime": 26.3375,
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"eval_samples": 2490,
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"eval_samples_per_second": 94.542,
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"eval_steps_per_second": 5.923
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}
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merges.txt
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The diff for this file is too large to render.
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:45180fd0e967ae53e7e105be5e14cc2aa53a5ad1b2a7aaa8c2e9eece6ef2309f
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size 498677165
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "name_or_path": "bertin-project/bertin-base-gaussian-exp-512seqlen", "tokenizer_class": "RobertaTokenizer"}
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.5170908811661225,
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"train_runtime": 67360.5161,
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"train_samples": 392702,
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"train_samples_per_second": 29.149,
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"train_steps_per_second": 1.822
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}
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trainer_state.json
ADDED
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