Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/llama-2-7b-chat
+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": "unsloth/llama-2-7b-chat",
+  "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": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "up_proj",
+    "o_proj",
+    "q_proj",
+    "down_proj",
+    "gate_proj",
+    "k_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 sha256:603f4b27a06b8742f26c301b8dedd147ad33208f27ec95f4b51a00c3853fa5ff
+size 319876032

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81dea698d16460c1adcb2c71951d9c82d11034426ed922706b5b6c8e098134f4
+size 640009682

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:736b963df08383cdb8cfc680a211789f93ff8d053b567e7d3baaffb62e9ad91d
+size 15024

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:145fbcf2e86d4ff7fb565b9a0ac251970516a2e28b1348b11689a438455aff1b
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c94b981b628069b1c0a51f4cec9d07638ec1a59ced2f12965e82c7b7d15de264
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:215d372d935deeab4007dfc7b4d956877349d097322a7de02ae52ffe35f0509a
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d77b75c98f4ecf428287f5189e7d1f35e45f6dc870812b3f5bcc5d0fbf1551aa
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "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": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,233 @@
+{
+  "best_metric": 1.2664278745651245,
+  "best_model_checkpoint": "miner_id_24/checkpoint-25",
+  "epoch": 0.015162140136080207,
+  "eval_steps": 25,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0006064856054432083,
+      "grad_norm": 3.9560394287109375,
+      "learning_rate": 5e-05,
+      "loss": 2.268,
+      "step": 1
+    },
+    {
+      "epoch": 0.0006064856054432083,
+      "eval_loss": 2.7075867652893066,
+      "eval_runtime": 2.9346,
+      "eval_samples_per_second": 17.038,
+      "eval_steps_per_second": 4.43,
+      "step": 1
+    },
+    {
+      "epoch": 0.0012129712108864166,
+      "grad_norm": 3.552264451980591,
+      "learning_rate": 0.0001,
+      "loss": 2.0962,
+      "step": 2
+    },
+    {
+      "epoch": 0.0018194568163296249,
+      "grad_norm": 3.2752976417541504,
+      "learning_rate": 9.958086757163489e-05,
+      "loss": 1.9936,
+      "step": 3
+    },
+    {
+      "epoch": 0.002425942421772833,
+      "grad_norm": 1.3922207355499268,
+      "learning_rate": 9.833127793065098e-05,
+      "loss": 1.5374,
+      "step": 4
+    },
+    {
+      "epoch": 0.0030324280272160417,
+      "grad_norm": 0.974947452545166,
+      "learning_rate": 9.627450856774539e-05,
+      "loss": 1.3778,
+      "step": 5
+    },
+    {
+      "epoch": 0.0036389136326592498,
+      "grad_norm": 1.0462532043457031,
+      "learning_rate": 9.3448873204592e-05,
+      "loss": 1.4328,
+      "step": 6
+    },
+    {
+      "epoch": 0.004245399238102458,
+      "grad_norm": 0.8969913125038147,
+      "learning_rate": 8.990700808169889e-05,
+      "loss": 1.4041,
+      "step": 7
+    },
+    {
+      "epoch": 0.004851884843545666,
+      "grad_norm": 0.943970799446106,
+      "learning_rate": 8.571489144483944e-05,
+      "loss": 1.4869,
+      "step": 8
+    },
+    {
+      "epoch": 0.0054583704489888744,
+      "grad_norm": 0.861596941947937,
+      "learning_rate": 8.095061449516903e-05,
+      "loss": 1.5613,
+      "step": 9
+    },
+    {
+      "epoch": 0.006064856054432083,
+      "grad_norm": 0.8148055672645569,
+      "learning_rate": 7.570292669790186e-05,
+      "loss": 1.6122,
+      "step": 10
+    },
+    {
+      "epoch": 0.0066713416598752915,
+      "grad_norm": 0.9539321660995483,
+      "learning_rate": 7.006958254769438e-05,
+      "loss": 1.7334,
+      "step": 11
+    },
+    {
+      "epoch": 0.0072778272653184995,
+      "grad_norm": 1.0071280002593994,
+      "learning_rate": 6.415552058736854e-05,
+      "loss": 1.9099,
+      "step": 12
+    },
+    {
+      "epoch": 0.007884312870761708,
+      "grad_norm": 0.8137369751930237,
+      "learning_rate": 5.80709086014102e-05,
+      "loss": 1.3876,
+      "step": 13
+    },
+    {
+      "epoch": 0.008490798476204917,
+      "grad_norm": 0.8395057320594788,
+      "learning_rate": 5.192909139858981e-05,
+      "loss": 1.0561,
+      "step": 14
+    },
+    {
+      "epoch": 0.009097284081648125,
+      "grad_norm": 0.7751932740211487,
+      "learning_rate": 4.584447941263149e-05,
+      "loss": 1.0989,
+      "step": 15
+    },
+    {
+      "epoch": 0.009703769687091333,
+      "grad_norm": 0.7089543342590332,
+      "learning_rate": 3.9930417452305626e-05,
+      "loss": 1.0819,
+      "step": 16
+    },
+    {
+      "epoch": 0.01031025529253454,
+      "grad_norm": 0.7607638835906982,
+      "learning_rate": 3.4297073302098156e-05,
+      "loss": 1.0064,
+      "step": 17
+    },
+    {
+      "epoch": 0.010916740897977749,
+      "grad_norm": 1.0309456586837769,
+      "learning_rate": 2.9049385504830985e-05,
+      "loss": 1.129,
+      "step": 18
+    },
+    {
+      "epoch": 0.011523226503420959,
+      "grad_norm": 1.016621708869934,
+      "learning_rate": 2.4285108555160577e-05,
+      "loss": 1.2013,
+      "step": 19
+    },
+    {
+      "epoch": 0.012129712108864167,
+      "grad_norm": 1.0528644323349,
+      "learning_rate": 2.0092991918301108e-05,
+      "loss": 1.277,
+      "step": 20
+    },
+    {
+      "epoch": 0.012736197714307375,
+      "grad_norm": 0.867617130279541,
+      "learning_rate": 1.6551126795408016e-05,
+      "loss": 1.2926,
+      "step": 21
+    },
+    {
+      "epoch": 0.013342683319750583,
+      "grad_norm": 0.9080958366394043,
+      "learning_rate": 1.3725491432254624e-05,
+      "loss": 1.4072,
+      "step": 22
+    },
+    {
+      "epoch": 0.013949168925193791,
+      "grad_norm": 0.8537561893463135,
+      "learning_rate": 1.1668722069349041e-05,
+      "loss": 1.4946,
+      "step": 23
+    },
+    {
+      "epoch": 0.014555654530636999,
+      "grad_norm": 0.6739559173583984,
+      "learning_rate": 1.0419132428365116e-05,
+      "loss": 1.6581,
+      "step": 24
+    },
+    {
+      "epoch": 0.015162140136080207,
+      "grad_norm": 0.7529584765434265,
+      "learning_rate": 1e-05,
+      "loss": 1.6946,
+      "step": 25
+    },
+    {
+      "epoch": 0.015162140136080207,
+      "eval_loss": 1.2664278745651245,
+      "eval_runtime": 2.9983,
+      "eval_samples_per_second": 16.676,
+      "eval_steps_per_second": 4.336,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 25,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 1,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.629552387915776e+17,
+  "train_batch_size": 1,
+  "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:e0c43fad6a948433ab02fdec24e201621cd2a07561730cb02df33cd3338ebe73
+size 6840