Upload model finetuned on codet5p-220m using strategy src_fm_fc_ms_ff
Browse files- README.md +50 -3
- added_tokens.json +8 -0
- config.json +33 -0
- generation_config.json +8 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +59 -0
- tokenizer.json +0 -0
- tokenizer_config.json +113 -0
- trainer_state.json +1603 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license:
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---
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license: bsd-3-clause
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base_model: Salesforce/codet5p-220m
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tags:
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- generated_from_trainer
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model-index:
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- name: finetuning_02_codet5p_src_fm_fc_ms_ff
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results: []
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---
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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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# finetuning_02_codet5p_src_fm_fc_ms_ff
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This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on an unknown dataset.
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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: 32
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- eval_batch_size: 64
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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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- lr_scheduler_warmup_steps: 800
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0
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- Datasets 2.20.0
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"</ECTX>": 32103,
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"</FCTX>": 32101,
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"</PRIVATE_FCTX>": 32105,
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"<ECTX>": 32102,
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"<FCTX>": 32100,
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"<PRIVATE_FCTX>": 32104
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}
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config.json
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{
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"_name_or_path": "Salesforce/codet5p-220m",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"bos_token_id": 1,
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"classifier_dropout": 0.0,
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"d_ff": 3072,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 2,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 32106
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"decoder_start_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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}
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merges.txt
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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:c3c450de6ca234b9791cabe32b7c7416f795cff2c18f4cbcaffde3c6c2df5286
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size 891635790
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<FCTX>",
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"</FCTX>",
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"<ECTX>",
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"<PRIVATE_FCTX>",
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"bos_token": {
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"mask_token": {
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"normalized": true,
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tokenizer.json
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tokenizer_config.json
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"32103": {
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"content": "</ECTX>",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": true
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},
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"32104": {
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"<ECTX>",
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"<PRIVATE_FCTX>",
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],
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}
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trainer_state.json
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"total_flos": 1.7097588901675008e+18,
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1588 |
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|
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"train_runtime": 31448.3717,
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|
1591 |
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"train_steps_per_second": 2.79
|
1592 |
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}
|
1593 |
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|
1594 |
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"logging_steps": 400,
|
1595 |
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"max_steps": 87740,
|
1596 |
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"num_input_tokens_seen": 0,
|
1597 |
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|
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"save_steps": 500,
|
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"total_flos": 1.7097588901675008e+18,
|
1600 |
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"train_batch_size": 32,
|
1601 |
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"trial_name": null,
|
1602 |
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"trial_params": null
|
1603 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:621a59c1fa7abfb2989a3fb9a8fe10944574d433fca08f964e9d5588799068a9
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3 |
+
size 5176
|
vocab.json
ADDED
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|
|