End of training

README.md

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+---
+license: mit
+base_model: microsoft/phi-2
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: phi2-filter2
+  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: microsoft/phi-2
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+hub_model_id: satpalsr/phi2-filter2
+hf_use_auth_token: true
+
+datasets:
+  - path: satpalsr/translation-filter
+    type: completion
+
+dataset_prepared_path:
+val_set_size: 0.01
+output_dir: ./phi-sft-out2
+
+sequence_len: 2048
+sample_packing: false  # currently unsupported
+pad_to_sequence_len:
+
+adapter:
+lora_model_dir:
+lora_r: 16
+lora_alpha: 32
+lora_dropout: 0.1
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_modules_to_save:
+  - embd
+  - lm_head
+
+wandb_project: phi2transfilter
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 16
+num_epochs: 4
+optimizer: paged_adamw_8bit
+adam_beta2: 0.95
+adam_epsilon: 0.00001
+max_grad_norm: 1.0
+lr_scheduler: cosine
+learning_rate: 1e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: false
+
+warmup_steps: 100
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+resize_token_embeddings_to_32x: true
+special_tokens:
+  pad_token: "<|endoftext|>"
+```
+
+</details><br>
+
+# phi2-filter2
+
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1944
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.5676        | 0.01  | 1    | 2.5391          |
+| 2.4364        | 0.25  | 29   | 2.4042          |
+| 1.9523        | 0.5   | 58   | 1.8580          |
+| 1.1137        | 0.75  | 87   | 0.9535          |
+| 0.5107        | 1.0   | 116  | 0.4195          |
+| 0.4588        | 1.25  | 145  | 0.2877          |
+| 0.2876        | 1.5   | 174  | 0.2462          |
+| 0.2959        | 1.75  | 203  | 0.2264          |
+| 0.2197        | 2.0   | 232  | 0.2114          |
+| 0.3045        | 2.25  | 261  | 0.2052          |
+| 0.2726        | 2.5   | 290  | 0.2022          |
+| 0.3046        | 2.75  | 319  | 0.1975          |
+| 0.3316        | 3.0   | 348  | 0.1954          |
+| 0.2223        | 3.25  | 377  | 0.1950          |
+| 0.2609        | 3.5   | 406  | 0.1946          |
+| 0.2739        | 3.75  | 435  | 0.1945          |
+| 0.2703        | 4.0   | 464  | 0.1944          |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.1+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "transformers_version": "4.37.0.dev0"
+}

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