Instructions to use hallisky/amt-classifier-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hallisky/amt-classifier-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hallisky/amt-classifier-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hallisky/amt-classifier-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("hallisky/amt-classifier-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 12 files
Browse files- config.json +38 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- trainer_state.json +121 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
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{
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"_name_or_path": "roberta-large",
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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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"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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"id2label": {
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"0": "h",
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"1": "pp",
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"2": "qq"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"h": 0,
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"pp": 1,
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"qq": 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": 16,
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"num_hidden_layers": 24,
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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": "4.38.0",
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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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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e873c3f5dae1008bc6efdc8f413b1571eb3d89f4018b22a402479ce4b01743e6
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size 1421499516
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb96657e5afb4f31cd65a7563b19cdad9a106c9fa4701a12c1c67cddc6b2dc2c
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size 2843231469
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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:c1508b175b79c75a88d5f7f2a56e937c14c8f9189ac39d68d69b4fe7241feae8
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size 14180
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b3e199bbda9aad4143a96ea0ac9ce1bd6d44218caf1398e9109759bd9461ed0
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size 1064
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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": false,
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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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tokenizer_config.json
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{
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"add_prefix_space": false,
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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": 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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"1": {
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"content": "<pad>",
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"lstrip": false,
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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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"2": {
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"content": "</s>",
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"lstrip": false,
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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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"3": {
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"content": "<unk>",
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"lstrip": false,
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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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"50264": {
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"content": "<mask>",
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"lstrip": true,
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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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},
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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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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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trainer_state.json
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{
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"best_metric": 1.0,
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"best_model_checkpoint": "train_authorship/train_outputs/05-21-2024_13:13:45/checkpoint-6",
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"epoch": 2.5,
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"eval_steps": 2,
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"global_step": 10,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.5,
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"grad_norm": 6.089840412139893,
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"learning_rate": 2.5e-05,
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"loss": 1.1456,
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"step": 2
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},
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{
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"epoch": 0.5,
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"eval_acc_product": 0.0,
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"eval_h_acc": 0.7692307692307693,
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"eval_loss": 1.0893480777740479,
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"eval_overall_acc": 0.5897435897435898,
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"eval_pp_acc": 1.0,
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"eval_qq_acc": 0.0,
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"eval_runtime": 0.2361,
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"eval_samples_per_second": 165.177,
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"step": 2
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},
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{
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"epoch": 1.0,
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"grad_norm": 6.872375965118408,
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"learning_rate": 5e-05,
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"loss": 1.12,
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"step": 4
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},
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{
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"epoch": 1.0,
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"eval_acc_product": 0.1301775147928994,
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"eval_h_acc": 0.8461538461538461,
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"eval_loss": 1.0048478841781616,
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"eval_overall_acc": 0.6666666666666666,
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"eval_pp_acc": 0.15384615384615385,
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"eval_qq_acc": 1.0,
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"eval_runtime": 0.2352,
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"eval_samples_per_second": 165.814,
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"eval_steps_per_second": 4.252,
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"step": 4
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},
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{
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"loss": 0.9317,
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},
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{
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"epoch": 1.5,
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"eval_acc_product": 1.0,
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"eval_h_acc": 1.0,
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"eval_loss": 0.4365764558315277,
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"eval_overall_acc": 1.0,
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"eval_qq_acc": 1.0,
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"eval_runtime": 0.2356,
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},
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{
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},
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{
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"eval_qq_acc": 1.0,
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"step": 8
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},
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{
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"loss": 0.1006,
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"step": 10
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},
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{
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"eval_h_acc": 1.0,
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"eval_qq_acc": 1.0,
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"eval_runtime": 0.2364,
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| 107 |
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| 109 |
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"step": 10
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}
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],
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"logging_steps": 2,
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"max_steps": 40,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 10,
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| 116 |
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"save_steps": 2,
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"total_flos": 190740783974448.0,
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"train_batch_size": 64,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:341a94260346a9cd04bb1b76b2f75d7df3df564fee684d0d747abb6aa98713bd
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size 4920
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vocab.json
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