Instructions to use CarmelKron/ADV_DL_Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CarmelKron/ADV_DL_Project with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CarmelKron/ADV_DL_Project", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload best model from trial 14
Browse files- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/added_tokens.json +3 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/config.json +49 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/model.safetensors +3 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/optimizer.pt +3 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/rng_state.pth +3 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/scheduler.pt +3 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/special_tokens_map.json +15 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/spm.model +3 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/tokenizer.json +0 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/tokenizer_config.json +59 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/trainer_state.json +145 -0
- HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/training_args.bin +3 -0
HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/added_tokens.json
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{
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"[MASK]": 128000
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}
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/config.json
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{
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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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"3": "LABEL_3",
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"4": "LABEL_4"
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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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"LABEL_3": 3,
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"LABEL_4": 4
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},
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"layer_norm_eps": 1e-07,
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"legacy": true,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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| 33 |
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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| 36 |
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.55.1",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:feeb42eb74358d28ad6e86090de740257d98d86a444771f12ad897bb22e18cd4
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size 737728508
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8a188f11f33322dc2d9de6d06544f6fcb9af5928e49504c0b805db5626e3984
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size 1475576826
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:7dee66f50e2161db3301ab48e5878ebe16e745b5ecfb21cb02605bbb951b4600
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size 14244
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3a1f769eb8453e4fafb6fa7148aa89fca7e2318b6e6671395c487aa124e46f3
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size 1064
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/special_tokens_map.json
ADDED
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": {
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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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}
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}
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/spm.model
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/tokenizer.json
ADDED
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The diff for this file is too large to render.
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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| 10 |
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},
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"1": {
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"content": "[CLS]",
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"lstrip": false,
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| 14 |
+
"normalized": false,
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| 15 |
+
"rstrip": false,
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| 16 |
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
+
},
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| 19 |
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"2": {
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| 20 |
+
"content": "[SEP]",
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| 21 |
+
"lstrip": false,
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| 22 |
+
"normalized": false,
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| 23 |
+
"rstrip": false,
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| 24 |
+
"single_word": false,
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| 25 |
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"special": true
|
| 26 |
+
},
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| 27 |
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"3": {
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| 28 |
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"content": "[UNK]",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": true,
|
| 31 |
+
"rstrip": false,
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| 32 |
+
"single_word": false,
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| 33 |
+
"special": true
|
| 34 |
+
},
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| 35 |
+
"128000": {
|
| 36 |
+
"content": "[MASK]",
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| 37 |
+
"lstrip": false,
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| 38 |
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"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
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| 43 |
+
},
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| 44 |
+
"bos_token": "[CLS]",
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| 45 |
+
"clean_up_tokenization_spaces": false,
|
| 46 |
+
"cls_token": "[CLS]",
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| 47 |
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"do_lower_case": false,
|
| 48 |
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"eos_token": "[SEP]",
|
| 49 |
+
"extra_special_tokens": {},
|
| 50 |
+
"mask_token": "[MASK]",
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| 51 |
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"model_max_length": 1000000000000000019884624838656,
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| 52 |
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"pad_token": "[PAD]",
|
| 53 |
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"sep_token": "[SEP]",
|
| 54 |
+
"sp_model_kwargs": {},
|
| 55 |
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"split_by_punct": false,
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| 56 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
| 57 |
+
"unk_token": "[UNK]",
|
| 58 |
+
"vocab_type": "spm"
|
| 59 |
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}
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/trainer_state.json
ADDED
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{
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| 2 |
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"best_global_step": null,
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| 3 |
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"best_metric": 0.8763362487852284,
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| 4 |
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"best_model_checkpoint": null,
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| 5 |
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"epoch": 6.0,
|
| 6 |
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"eval_steps": 500,
|
| 7 |
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"global_step": 3090,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
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"log_history": [
|
| 12 |
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{
|
| 13 |
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"epoch": 1.0,
|
| 14 |
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"grad_norm": 6.279489517211914,
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| 15 |
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"learning_rate": 1.410738370645236e-05,
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"loss": 1.3949,
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| 17 |
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"step": 515
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| 18 |
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},
|
| 19 |
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{
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| 20 |
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"epoch": 1.0,
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| 21 |
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"eval_accuracy": 0.6025267249757046,
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| 22 |
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"eval_f1": 0.5993739541640919,
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| 23 |
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"eval_loss": 1.12865149974823,
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| 24 |
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"eval_runtime": 17.4215,
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| 25 |
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"eval_samples_per_second": 472.519,
|
| 26 |
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"eval_steps_per_second": 14.809,
|
| 27 |
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"step": 515
|
| 28 |
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},
|
| 29 |
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{
|
| 30 |
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"epoch": 2.0,
|
| 31 |
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"grad_norm": 7.4561448097229,
|
| 32 |
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"learning_rate": 2.8242213684707158e-05,
|
| 33 |
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"loss": 0.939,
|
| 34 |
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"step": 1030
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| 35 |
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},
|
| 36 |
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{
|
| 37 |
+
"epoch": 2.0,
|
| 38 |
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"eval_accuracy": 0.7854713313896987,
|
| 39 |
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"eval_f1": 0.7847142979916254,
|
| 40 |
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"eval_loss": 0.8375873565673828,
|
| 41 |
+
"eval_runtime": 17.3941,
|
| 42 |
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"eval_samples_per_second": 473.263,
|
| 43 |
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"eval_steps_per_second": 14.833,
|
| 44 |
+
"step": 1030
|
| 45 |
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},
|
| 46 |
+
{
|
| 47 |
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"epoch": 3.0,
|
| 48 |
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"grad_norm": 8.811366081237793,
|
| 49 |
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"learning_rate": 4.2377043662961956e-05,
|
| 50 |
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"loss": 0.7701,
|
| 51 |
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"step": 1545
|
| 52 |
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},
|
| 53 |
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{
|
| 54 |
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"epoch": 3.0,
|
| 55 |
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"eval_accuracy": 0.8341836734693877,
|
| 56 |
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"eval_f1": 0.8341584878065191,
|
| 57 |
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"eval_loss": 0.7567286491394043,
|
| 58 |
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"eval_runtime": 17.3857,
|
| 59 |
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"eval_samples_per_second": 473.493,
|
| 60 |
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"eval_steps_per_second": 14.84,
|
| 61 |
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"step": 1545
|
| 62 |
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},
|
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HF_FT_Carmel_Preprocess1_Data/trial_14/checkpoint-3090/training_args.bin
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