nicedoctors
commited on
Commit
•
9da8c2b
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Parent(s):
046c0b2
Upload 12 files
Browse files- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- all_results.json +7 -0
- merges.txt +0 -0
- special_tokens_map.json +20 -0
- tokenizer_config.json +44 -0
- train_results.json +7 -0
- trainer_log.jsonl +101 -0
- trainer_state.json +730 -0
- training_args.bin +3 -0
- vocab.json +0 -0
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen1.5-7B",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b2b5d686230bbf5033030e6ab8f68a47948ae74f55fe1cb307f505480f6d1ea
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size 16794200
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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all_results.json
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{
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"epoch": 20.0,
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"train_loss": 2.0708214292526246,
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"train_runtime": 754.3437,
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"train_samples_per_second": 10.605,
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"train_steps_per_second": 0.663
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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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": {
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"content": "<|endoftext|>",
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"lstrip": false,
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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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}
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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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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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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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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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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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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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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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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": null,
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message + '\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '\\nAssistant: ' }}{% elif message['role'] == 'assistant' %}{{ content + '<|endoftext|>' + '\\n' }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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train_results.json
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{
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"epoch": 20.0,
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"train_loss": 2.0708214292526246,
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"train_runtime": 754.3437,
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"train_samples_per_second": 10.605,
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"train_steps_per_second": 0.663
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}
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trainer_log.jsonl
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{"current_steps": 5, "total_steps": 500, "loss": 4.2591, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.998766400914329e-05, "epoch": 0.2, "percentage": 1.0, "elapsed_time": "0:00:07", "remaining_time": "0:11:41"}
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{"current_steps": 10, "total_steps": 500, "loss": 4.084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.995066821070679e-05, "epoch": 0.4, "percentage": 2.0, "elapsed_time": "0:00:14", "remaining_time": "0:11:43"}
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{"current_steps": 25, "total_steps": 500, "loss": 3.7709, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.9692208514878444e-05, "epoch": 1.0, "percentage": 5.0, "elapsed_time": "0:00:36", "remaining_time": "0:11:40"}
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{"current_steps": 45, "total_steps": 500, "loss": 3.1392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.900734214192358e-05, "epoch": 1.8, "percentage": 9.0, "elapsed_time": "0:01:07", "remaining_time": "0:11:19"}
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trainer_state.json
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