Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
upload best checkpoints 100 graphcodebert mixcode fft
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- graphcodebert-mixcode-fft/checkpoint-100/config.json +29 -0
- graphcodebert-mixcode-fft/checkpoint-100/merges.txt +0 -0
- graphcodebert-mixcode-fft/checkpoint-100/model.safetensors +3 -0
- graphcodebert-mixcode-fft/checkpoint-100/optimizer.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-100/rng_state.pth +3 -0
- graphcodebert-mixcode-fft/checkpoint-100/scaler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-100/scheduler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-100/special_tokens_map.json +51 -0
- graphcodebert-mixcode-fft/checkpoint-100/tokenizer.json +0 -0
- graphcodebert-mixcode-fft/checkpoint-100/tokenizer_config.json +58 -0
- graphcodebert-mixcode-fft/checkpoint-100/trainer_state.json +113 -0
- graphcodebert-mixcode-fft/checkpoint-100/training_args.bin +3 -0
- graphcodebert-mixcode-fft/checkpoint-100/vocab.json +0 -0
- graphcodebert-mixcode-fft/checkpoint-200/config.json +29 -0
- graphcodebert-mixcode-fft/checkpoint-200/merges.txt +0 -0
- graphcodebert-mixcode-fft/checkpoint-200/model.safetensors +3 -0
- graphcodebert-mixcode-fft/checkpoint-200/optimizer.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-200/rng_state.pth +3 -0
- graphcodebert-mixcode-fft/checkpoint-200/scaler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-200/scheduler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-200/special_tokens_map.json +51 -0
- graphcodebert-mixcode-fft/checkpoint-200/tokenizer.json +0 -0
- graphcodebert-mixcode-fft/checkpoint-200/tokenizer_config.json +58 -0
- graphcodebert-mixcode-fft/checkpoint-200/trainer_state.json +183 -0
- graphcodebert-mixcode-fft/checkpoint-200/training_args.bin +3 -0
- graphcodebert-mixcode-fft/checkpoint-200/vocab.json +0 -0
- graphcodebert-mixcode-fft/checkpoint-300/config.json +29 -0
- graphcodebert-mixcode-fft/checkpoint-300/merges.txt +0 -0
- graphcodebert-mixcode-fft/checkpoint-300/model.safetensors +3 -0
- graphcodebert-mixcode-fft/checkpoint-300/optimizer.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-300/rng_state.pth +3 -0
- graphcodebert-mixcode-fft/checkpoint-300/scaler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-300/scheduler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-300/special_tokens_map.json +51 -0
- graphcodebert-mixcode-fft/checkpoint-300/tokenizer.json +0 -0
- graphcodebert-mixcode-fft/checkpoint-300/tokenizer_config.json +58 -0
- graphcodebert-mixcode-fft/checkpoint-300/trainer_state.json +253 -0
- graphcodebert-mixcode-fft/checkpoint-300/training_args.bin +3 -0
- graphcodebert-mixcode-fft/checkpoint-300/vocab.json +0 -0
- graphcodebert-mixcode-fft/checkpoint-400/config.json +29 -0
- graphcodebert-mixcode-fft/checkpoint-400/merges.txt +0 -0
- graphcodebert-mixcode-fft/checkpoint-400/model.safetensors +3 -0
- graphcodebert-mixcode-fft/checkpoint-400/optimizer.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-400/rng_state.pth +3 -0
- graphcodebert-mixcode-fft/checkpoint-400/scaler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-400/scheduler.pt +3 -0
- graphcodebert-mixcode-fft/checkpoint-400/special_tokens_map.json +51 -0
- graphcodebert-mixcode-fft/checkpoint-400/tokenizer.json +0 -0
- graphcodebert-mixcode-fft/checkpoint-400/tokenizer_config.json +58 -0
- graphcodebert-mixcode-fft/checkpoint-400/trainer_state.json +323 -0
graphcodebert-mixcode-fft/checkpoint-100/config.json
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{
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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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"dtype": "float32",
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"eos_token_id": 2,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"output_past": true,
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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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"transformers_version": "4.56.0",
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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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graphcodebert-mixcode-fft/checkpoint-100/merges.txt
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graphcodebert-mixcode-fft/checkpoint-100/model.safetensors
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size 498612824
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graphcodebert-mixcode-fft/checkpoint-100/optimizer.pt
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size 4741923
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graphcodebert-mixcode-fft/checkpoint-100/rng_state.pth
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size 14645
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graphcodebert-mixcode-fft/checkpoint-100/scaler.pt
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size 1383
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graphcodebert-mixcode-fft/checkpoint-100/scheduler.pt
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size 1465
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graphcodebert-mixcode-fft/checkpoint-100/special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"single_word": false
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"cls_token": {
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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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},
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"eos_token": {
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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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},
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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": {
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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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},
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"sep_token": {
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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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},
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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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graphcodebert-mixcode-fft/checkpoint-100/tokenizer.json
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graphcodebert-mixcode-fft/checkpoint-100/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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"normalized": true,
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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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"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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"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": 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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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"extra_special_tokens": {},
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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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| 57 |
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"unk_token": "<unk>"
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}
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graphcodebert-mixcode-fft/checkpoint-100/trainer_state.json
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{
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"best_global_step": null,
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.012799180852425445,
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| 6 |
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"eval_steps": 1000,
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"global_step": 100,
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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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| 13 |
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"epoch": 0.0012799180852425445,
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| 14 |
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"grad_norm": 1.2002202272415161,
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| 15 |
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"learning_rate": 1.4404609475032012e-07,
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| 16 |
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"loss": 0.714,
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| 17 |
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"step": 10
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},
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{
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"epoch": 0.002559836170485089,
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| 21 |
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"grad_norm": 1.0710716247558594,
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"learning_rate": 3.040973111395647e-07,
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| 23 |
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"loss": 0.7181,
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| 24 |
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"step": 20
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},
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ADDED
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@@ -0,0 +1,253 @@
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| 323 |
+
}
|