Training in progress, step 10, checkpoint

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen1.5-0.5B
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen1.5-0.5B",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "gate_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:996361326cc806dc51f914d3eea4a6b53a7e60f6ea626c7adeed72f86be69ce2
+size 30322120

last-checkpoint/added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

last-checkpoint/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddc489333d4d08668978b6b4379f824009ba7090c421409bce0de3a50354bf59
+size 60854466

last-checkpoint/pytorch_model_fsdp.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5476eec33245e588f12800f9e039a3d65ea84fdc0984432c0d63e8b6c761fca6
+size 30402542

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8d6a959372d5e0c2ea025dd26c9d0ad2046fce19352056cae8074dcbd0a6fd4
+size 14512

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f68a37892a1b445d21bb35cc10bf7a058a6f9ec8c363f5ed156ff4f49d90fb6
+size 14512

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c188a6a4749e6ca627bb6d536eb7443f499d5b1b88d98a78f9c713443e010d9c
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
+size 11418266

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,183 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.0041148030038061926,
+  "eval_steps": 500,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0004114803003806193,
+      "grad_norm": 27.139442443847656,
+      "learning_rate": 4e-05,
+      "logits/chosen": -0.4878891408443451,
+      "logits/rejected": -0.36002424359321594,
+      "logps/chosen": -508.9744873046875,
+      "logps/rejected": -399.0566711425781,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.0,
+      "rewards/chosen": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/rejected": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.0008229606007612386,
+      "grad_norm": 28.03324317932129,
+      "learning_rate": 8e-05,
+      "logits/chosen": -1.1163477897644043,
+      "logits/rejected": -1.1012834310531616,
+      "logps/chosen": -462.05535888671875,
+      "logps/rejected": -390.1266174316406,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.0,
+      "rewards/chosen": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/rejected": 0.0,
+      "step": 2
+    },
+    {
+      "epoch": 0.0012344409011418578,
+      "grad_norm": 26.492889404296875,
+      "learning_rate": 0.00012,
+      "logits/chosen": -1.0645952224731445,
+      "logits/rejected": -1.0689834356307983,
+      "logps/chosen": -542.097900390625,
+      "logps/rejected": -440.78082275390625,
+      "loss": 0.6683,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": 0.024405861273407936,
+      "rewards/margins": 0.07606526464223862,
+      "rewards/rejected": -0.051659394055604935,
+      "step": 3
+    },
+    {
+      "epoch": 0.0016459212015224772,
+      "grad_norm": 25.787960052490234,
+      "learning_rate": 0.00016,
+      "logits/chosen": -1.285304069519043,
+      "logits/rejected": -1.2678284645080566,
+      "logps/chosen": -589.3946533203125,
+      "logps/rejected": -542.7539672851562,
+      "loss": 0.6507,
+      "rewards/accuracies": 0.875,
+      "rewards/chosen": 0.07778014987707138,
+      "rewards/margins": 0.12184658646583557,
+      "rewards/rejected": -0.044066429138183594,
+      "step": 4
+    },
+    {
+      "epoch": 0.0020574015019030963,
+      "grad_norm": 22.426599502563477,
+      "learning_rate": 0.0002,
+      "logits/chosen": -0.9586887955665588,
+      "logits/rejected": -0.8825314044952393,
+      "logps/chosen": -400.9656982421875,
+      "logps/rejected": -327.4418029785156,
+      "loss": 0.5141,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.2233653962612152,
+      "rewards/margins": 0.38212087750434875,
+      "rewards/rejected": -0.15875549614429474,
+      "step": 5
+    },
+    {
+      "epoch": 0.0024688818022837156,
+      "grad_norm": 16.737804412841797,
+      "learning_rate": 0.0001992114701314478,
+      "logits/chosen": -1.2257897853851318,
+      "logits/rejected": -1.2666592597961426,
+      "logps/chosen": -471.3397216796875,
+      "logps/rejected": -438.3558349609375,
+      "loss": 0.3709,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.5976722836494446,
+      "rewards/margins": 0.9374919533729553,
+      "rewards/rejected": -0.3398197293281555,
+      "step": 6
+    },
+    {
+      "epoch": 0.002880362102664335,
+      "grad_norm": 12.517535209655762,
+      "learning_rate": 0.0001968583161128631,
+      "logits/chosen": -0.6291860938072205,
+      "logits/rejected": -0.47362133860588074,
+      "logps/chosen": -428.06842041015625,
+      "logps/rejected": -371.05291748046875,
+      "loss": 0.2316,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.6523086428642273,
+      "rewards/margins": 1.3763750791549683,
+      "rewards/rejected": -0.7240663766860962,
+      "step": 7
+    },
+    {
+      "epoch": 0.0032918424030449543,
+      "grad_norm": 6.792978286743164,
+      "learning_rate": 0.00019297764858882514,
+      "logits/chosen": -1.509896993637085,
+      "logits/rejected": -1.637273907661438,
+      "logps/chosen": -507.9560241699219,
+      "logps/rejected": -294.61846923828125,
+      "loss": 0.1141,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.0727909803390503,
+      "rewards/margins": 2.7178125381469727,
+      "rewards/rejected": -1.645021915435791,
+      "step": 8
+    },
+    {
+      "epoch": 0.0037033227034255736,
+      "grad_norm": 5.140781402587891,
+      "learning_rate": 0.00018763066800438636,
+      "logits/chosen": -1.2213760614395142,
+      "logits/rejected": -1.2033789157867432,
+      "logps/chosen": -506.4827575683594,
+      "logps/rejected": -469.6034240722656,
+      "loss": 0.0659,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.035543441772461,
+      "rewards/margins": 3.330984592437744,
+      "rewards/rejected": -2.295441150665283,
+      "step": 9
+    },
+    {
+      "epoch": 0.0041148030038061926,
+      "grad_norm": 4.420252323150635,
+      "learning_rate": 0.00018090169943749476,
+      "logits/chosen": -1.316309928894043,
+      "logits/rejected": -1.180828332901001,
+      "logps/chosen": -526.9530029296875,
+      "logps/rejected": -433.0289001464844,
+      "loss": 0.0567,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.0873844623565674,
+      "rewards/margins": 4.177903652191162,
+      "rewards/rejected": -3.0905189514160156,
+      "step": 10
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 30,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c4f95ba6f8fd13f26eabdafa185af579bed7537c2d67af91181c251a1d400f0
+size 7160