Model save

README.md

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+---
+license: other
+base_model: deepseek-ai/deepseek-coder-1.3b-base
+tags:
+- generated_from_trainer
+model-index:
+- name: deepseek_coder_1.3b_typescript
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.3.0`
+```yaml
+base_model: deepseek-ai/deepseek-coder-1.3b-base
+model_type: AutoModelForCausalLM
+trust_remote_code: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+
+datasets:
+  - path: CodeGPTPlus/typescript-0-500000-seq1024
+    type: completion
+    field: text
+#dataset_prepared_path:
+
+#pretraining_dataset: CodeGPTPlus/typescript-0-500000-seq1024
+
+val_set_size: 0.001
+output_dir:  ./fft-out
+
+sequence_len: 1024
+
+adapter:
+lora_model_dir:
+lora_r: 
+lora_alpha: 
+lora_dropout: 
+lora_target_linear: 
+lora_fan_in_fan_out:
+lora_modules_to_save:
+
+wandb_project: deepseek_1.3_fft
+wandb_entity:
+wandb_watch:
+wandb_name: aws_a10g
+wandb_log_model: end
+
+
+gradient_accumulation_steps: 2
+micro_batch_size: 20
+num_epochs: 1
+#max_steps: 1 # REMOVE IT
+optimizer: adamw_bnb_8bit
+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 0.000001
+max_grad_norm: 1.0
+weight_decay: 0.1
+lr_scheduler: cosine
+learning_rate: 0.00002
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+loss_watchdog_threshold: 5.0
+loss_watchdog_patience: 3
+
+hub_model_id: CodeGPTPlus/deepseek_coder_1.3b_typescript
+hub_strategy: every_save
+warmup_ratio: 0.01
+evals_per_epoch: 20
+saves_per_epoch: 3
+debug:
+deepspeed:
+
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<｜begin▁of▁sentence｜>"
+  eos_token: "<｜end▁of▁sentence｜>"
+  pad_token: "<｜end▁of▁sentence｜>"
+  # fim_prefix: "<｜fim▁begin｜>"
+  # fim_middle: "<｜fim▁hole｜>"
+  # fim_suffix: "<｜fim▁end｜>"
+
+```
+
+</details><br>
+
+# deepseek_coder_1.3b_typescript
+
+This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 20
+- eval_batch_size: 20
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 40
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 261
+- num_epochs: 1
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 32013,
+  "eos_token_id": 32014,
+  "transformers_version": "4.37.0.dev0"
+}

model.safetensors

@@ -1,3 +1,3 @@
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